SAP provides analytics solutions to help customers run their businesses better by accessing all relevant information, defining plans to align performance goals, and responding instantly to changing conditions. Their solutions provide capabilities for data analysis, business intelligence applications, and collaboration. Customers in various industries and regions have been able to increase financial and operational performance through SAP's analytics offerings.
This document discusses how big data is transforming business intelligence. It outlines some of the pains of traditional BI, including maintaining large data warehouses and only considering structured data. The document advocates for an open source approach using Hadoop as an "extended data warehouse" to address these issues. Examples of recent Solocal Group projects involving real-time business analytics and a search power selector are provided. Advice is given on how companies can activate big data projects and start the BI transformation.
What is the value of big data? How does a user get that value?
Before, analysts would have to wait months relying on IT for a new report or make changes to an existing one. Now, analysts are able to shrink that time down to days or even minutes. On top of that, analysts can ask questions that were not possible before. In this webinar, we’ll show you how this analysis is possible and the value that has been achieved by customers.
In this session, you will learn:
How analysts get value out of big data
How to visualize data at every step of analysis
How analysts can do big data analytics without IT, in one product
The document discusses the evolution of enterprise IT from systems of record to systems of engagement. It notes that while systems of record provide efficiency, systems of engagement focus on effectiveness through communication, coordination and collaboration. It argues that consumer technologies will disrupt enterprise IT by demanding more engaging applications. Finally, it outlines how systems of engagement can empower employees through globally accessible mobile, social and interactive technologies and analytics to improve business performance.
DataOps - Big Data and AI World London - March 2020 - Harvinder AtwalHarvinder Atwal
Title
DataOps, the secret weapon for delivering AI, data science, and business intelligence value at speed.
Synopsis
● According to recent research, just 7.3% of organisations say the state of their data and analytics is excellent, and only 22% of companies are currently seeing a significant return from data science expenditure.
● Poor returns on data & analytics investment are often the result of applying 20th-century thinking to 21st-century challenges and opportunities.
● Modern data science and analytics require secure, efficient processes to turn raw data from multiple sources and in numerous formats into useful inputs to a data product.
● Developing, orchestrating and iterating modern data pipelines is an extremely complex process requiring multiple technologies and skills.
● Other domains have to successfully overcome the challenge of delivering high-quality products at speed in complex environments. DataOps applies proven agile principles, lean thinking and DevOps practices to the development of data products.
● A DataOps approach aligns data producers, analytical data consumers, processes and technology with the rest of the organisation and its goals.
Role of Data in Digital TransformationVMware Tanzu
Data plays a big role in building the kinds of experiences demanded by the market today. In this session, we’ll unpack what goes into building a data-driven app, case studies of how organizations have successfully overcome siloed data and analytics to bring new predictive features into their applications, and what your next steps for data should be on your digital transformation journey.
Speaker: Les Klein, EMEA CTO Data, Pivotal
Informatica Becomes Part of the Business Data Lake EcosystemCapgemini
Informatica is now part of the Business Data Lake ecosystem developed by Capgemini and Pivotal. Customers worldwide will now be able to leverage Informatica’s data integration software in addition to Pivotal’s advanced big data, analytics and application software, and Capgemini’s industry and implementation expertise. Informatica will deliver certified technologies for Data Integration, Data Quality and Master Data Management (MDM) to help enterprises distill raw data into actionable insights.
http://www.capgemini.com/resources/the-business-data-lake-delivering-the-speed-and-accuracy-to-solve-your-big-data-problems
Modernizing Architecture for a Complete Data StrategyCloudera, Inc.
The document outlines a presentation about modernizing data strategies. It discusses how companies' relationships with data are changing and the business drivers for adopting big data and analytics. It then provides guidance on building a modern data strategy, emphasizing the importance of people, process, and technology. Specifically, it recommends starting with high-impact use cases, staying agile, and evolving capabilities over time to maximize value from data. The presentation also covers how Hadoop is being used for different workloads in both on-premise and cloud environments.
This document discusses how big data is transforming business intelligence. It outlines some of the pains of traditional BI, including maintaining large data warehouses and only considering structured data. The document advocates for an open source approach using Hadoop as an "extended data warehouse" to address these issues. Examples of recent Solocal Group projects involving real-time business analytics and a search power selector are provided. Advice is given on how companies can activate big data projects and start the BI transformation.
What is the value of big data? How does a user get that value?
Before, analysts would have to wait months relying on IT for a new report or make changes to an existing one. Now, analysts are able to shrink that time down to days or even minutes. On top of that, analysts can ask questions that were not possible before. In this webinar, we’ll show you how this analysis is possible and the value that has been achieved by customers.
In this session, you will learn:
How analysts get value out of big data
How to visualize data at every step of analysis
How analysts can do big data analytics without IT, in one product
The document discusses the evolution of enterprise IT from systems of record to systems of engagement. It notes that while systems of record provide efficiency, systems of engagement focus on effectiveness through communication, coordination and collaboration. It argues that consumer technologies will disrupt enterprise IT by demanding more engaging applications. Finally, it outlines how systems of engagement can empower employees through globally accessible mobile, social and interactive technologies and analytics to improve business performance.
DataOps - Big Data and AI World London - March 2020 - Harvinder AtwalHarvinder Atwal
Title
DataOps, the secret weapon for delivering AI, data science, and business intelligence value at speed.
Synopsis
● According to recent research, just 7.3% of organisations say the state of their data and analytics is excellent, and only 22% of companies are currently seeing a significant return from data science expenditure.
● Poor returns on data & analytics investment are often the result of applying 20th-century thinking to 21st-century challenges and opportunities.
● Modern data science and analytics require secure, efficient processes to turn raw data from multiple sources and in numerous formats into useful inputs to a data product.
● Developing, orchestrating and iterating modern data pipelines is an extremely complex process requiring multiple technologies and skills.
● Other domains have to successfully overcome the challenge of delivering high-quality products at speed in complex environments. DataOps applies proven agile principles, lean thinking and DevOps practices to the development of data products.
● A DataOps approach aligns data producers, analytical data consumers, processes and technology with the rest of the organisation and its goals.
Role of Data in Digital TransformationVMware Tanzu
Data plays a big role in building the kinds of experiences demanded by the market today. In this session, we’ll unpack what goes into building a data-driven app, case studies of how organizations have successfully overcome siloed data and analytics to bring new predictive features into their applications, and what your next steps for data should be on your digital transformation journey.
Speaker: Les Klein, EMEA CTO Data, Pivotal
Informatica Becomes Part of the Business Data Lake EcosystemCapgemini
Informatica is now part of the Business Data Lake ecosystem developed by Capgemini and Pivotal. Customers worldwide will now be able to leverage Informatica’s data integration software in addition to Pivotal’s advanced big data, analytics and application software, and Capgemini’s industry and implementation expertise. Informatica will deliver certified technologies for Data Integration, Data Quality and Master Data Management (MDM) to help enterprises distill raw data into actionable insights.
http://www.capgemini.com/resources/the-business-data-lake-delivering-the-speed-and-accuracy-to-solve-your-big-data-problems
Modernizing Architecture for a Complete Data StrategyCloudera, Inc.
The document outlines a presentation about modernizing data strategies. It discusses how companies' relationships with data are changing and the business drivers for adopting big data and analytics. It then provides guidance on building a modern data strategy, emphasizing the importance of people, process, and technology. Specifically, it recommends starting with high-impact use cases, staying agile, and evolving capabilities over time to maximize value from data. The presentation also covers how Hadoop is being used for different workloads in both on-premise and cloud environments.
Weiyan Zhao, Nationwide Insurance - A Decade of Data Science. The Nationwide ...Sri Ambati
This session was recorded in NYC on October 22nd, 2019 and can be viewed here: https://youtu.be/_RxH-bNRqp0
A Decade of Data Science. The Nationwide Journey
The Nationwide Enterprise Analytics Office (formerly Customer Insights and Analytics) has more than 10 years of experience in end-to-end data product development and system integration. The culture to attract, train and develop talent, the technical advancement to apply the new methods, the model factory to productionalize models, and responsive processes to measure business impact have all contributed to positive business outcomes as well as this team’s fast growth. In this talk, we will introduce Nationwide’s data science capabilities through case studies of a few data products they have built and deployed.
Bio: Weiyan Zhao is the Director of Data Science at Nationwide Insurance’s Enterprise Analytics Office. She currently leads a team of data scientists to provide enterprise solutions that drive business value and influence decisions through application of advanced statistical modeling and machine learning techniques. Previously, Weiyan served as an Analytics Manager at Chase, and as a Research Associate at Nationwide Children’s Hospital and at University of Texas at San Antonio. She received her PhD in Epidemiology and Statistics, and has been passionate about data and analytics throughout her career. Additionally, she is also a long term volunteer for different non-profit organizations to promote culture and diversity, and mentors young professionals.
An Overview of the Neo4j Cloud Strategy and the Future of Graph Databases in ...Neo4j
This document discusses how graphs and cloud computing can accelerate innovation. It notes that all data and organizations are naturally connected in complex ways and graphs are core to modern intelligent applications. Connections in data help with personalization, recommendations, health, fraud prevention, and more. The document highlights growing adoption of graph databases and Neo4j's cloud-managed graph database service, Neo4j Aura, which provides simplicity, flexibility, reliability, and empowers faster iteration and collaboration in the cloud.
Optimize your cloud strategy for machine learning and analyticsCloudera, Inc.
Join industry superstars Mike Olson (Cloudera CSO and co-founder) and Jim Curtis (451 Research senior analyst) as they outline the best practices for cloud-based machine learning and analytics in this “can’t miss” webinar.
Hot topics include:
Why enterprises are moving their analytics to the public cloud
How to select the best cloud deployment model
Design tricks that make cloud economics work
Success stories, cautionary tales, and lessons learned
James will share 451 Research findings and offer insights learned from surveying both the vendor landscape and enterprise practitioners.
.
Mike will regale you with his vision for the future of multi-disciplinary machine learning and analytics in hybrid- and multi-cloud environments
3 things to learn:
Why enterprises are moving their analytics to the public cloud
How to select the best cloud deployment model
Design tricks that make cloud economics work
Meg Mude, Intel - Data Engineering Lifecycle Optimized on Intel - H2O World S...Sri Ambati
This session was recorded in San Francisco on February 5th, 2019 and can be viewed here: https://youtu.be/cnU6sqd31JU
Developing meaningful AI applications requires complete data lifecycle management. Sourcing, harvesting, labelling and ensuring the conduit to consume data structures and repositories is critical for model accuracy....but, one of the least talked about subjects. Intel’s optimized technologies enable efficient delivery of complete data samples to develop (and deploy) meaningful outcomes. During this session, we’ll review the considerations and criticality of data lifecycle management for the AI production pipeline.
Bio: Meg brings more than 17 years of global product, engineering and solutions experience. She is presently a Solutions Architect with Intel Corporation specializing in Visual Compute and AAI (Analytics and AI) Architecture. She is passionate about the potential for technology to improve the quality of peoples’ lives and humanity on the whole.
Cloudera Fast Forward Labs: Accelerate machine learningCloudera, Inc.
Machine learning and artificial intelligence can change the world. Diagnosing heart disease. Detecting fraud. Predicting insurance claims. Revolutionizing agriculture. In business, machine learning and artificial intelligence drive new sources of revenue and lower costs.
But executives struggle to define an investment strategy. Researchers introduce innovations in machine learning daily. Technical jargon is opaque. Vendor hype muddies the waters. Industry analysts cover the field, but only at a high level.
Cloudera Fast Forward Labs accelerates your machine learning journey. We deliver a unique blend of applied research and hands-on explanations that you can apply to your business today.
In this webinar you will:
Meet the Cloudera Fast Forward Labs team
Cut through machine learning hype
Explore recent examples of applied research
See exciting new ML techniques
Hear how machine learning is delivering real business value on multiple use cases
3 things to learn:
Explore recent examples of applied research
See exciting new ML techniques
Hear how machine learning is delivering real business value on multiple use cases
Analyzing Unstructured Data in Hadoop WebinarDatameer
Unstructured data is growing 62% per year faster than structured data. According to Gartner, data volumes are set to grow 800% in aggregate over the next 5 years, and 80% of it will be unstructured data.
This on-demand webinar will highlight and discuss:
How applying big data analytics to unstructured data can help you gain richer, deeper and more accurate insights to gain competitive advantages
The sources of unstructured data which include email, social media platforms, CRM systems, call center platforms (including notes and speech-to-text transcripts), and web scrapes
How monitoring the communications of your customers and prospects enables you to make time-sensitive decisions and jump on new business opportunities
Top 5 Business Intelligence (BI) Trends in 2013Siva Shanmugam
Below are a few trends that we believe are going to gain momentum this year.
Agile IM
Cloud BI / SaaS BI
Mobile Business Intelligence
Analytics
Big Data
Transformacion del Negocio Financiero por medio de Tecnologias CloudRaul Goycoolea Seoane
This document discusses how cloud technologies can transform businesses. It provides an overview of Xertica, a leading cloud consulting firm in Latin America. The document then discusses how various industries like financial services, retail, and manufacturing are using technologies like cloud platforms, machine learning, and analytics to improve areas such as customer service, risk management, and modernizing legacy infrastructure. Specific customer examples are provided for each area to illustrate the business benefits seen such as reduced costs, improved efficiencies and increased innovation.
Reveal the Intelligence in your Data with Talend Data FabricJean-Michel Franco
Discover the Winter'20 release of Talend Data Fabric.
Find out about the newly released product, Talend Data Inventory, and the powerful new capabilities and AI that accelerate and modernize data engineering. Find out how to:
- Ensure trusted data at first sight with Data Inventory
- Increase efficiency and productivity with Pipeline Designer
- Automate more integration tasks with AI and APIs
This document outlines 10 business intelligence trends to expect in 2013. It predicts that organizations will recognize data stored in multiple places like Hadoop and transactional databases is optimal. Hadoop will become mainstream for large and unstructured data. Self-service BI will evolve to self-reliance as users gain access to the right data and solutions. The value of unstructured data like text will be recognized as techniques to analyze it mature. Cloud BI will become a primary analytics solution and visual analytics will become common for exploring and communicating data trends.
Big Data Everywhere Chicago: Platfora - Practices for Customer Analytics on H...BigDataEverywhere
Hadoop use cases have historically trended towards cost reduction through data warehouse offload. More recently, an uptick around customer-centric use cases have proven the ability for Hadoop to drive top-line revenue. In this session, Platfora solution architect Rob Rosen will discuss how the ability to coreelate multi-structured data in Hadoop leads to greater customer adoption, expanded cross-selling and reduced customer churn for enterprises deploying Hadoop-centric data lakes.
This presentation will discuss the stories of 3 companies that span different industries; what challenges they faced and how cloud analytics solved for them; what technologies were implemented to solve the challenges; and how they were able to benefit from their new cloud analytics environments.
The objectives of this session include:
• Detail and explain the key benefits and advantages of moving BI and analytics workloads to the cloud, and why companies shouldn’t wait any longer to make their move.
• Compare the different analytics cloud options companies have, and the pros and cons of each.
• Describe some of the challenges companies may face when moving their analytics to the cloud, and what they need to prepare for.
• Provide the case studies of three companies, what issues they were solving for, what technologies they implemented and why, and how they benefited from their new solutions.
• Learn what to look for one considering a partner and trusted advisor to assist with an analytics cloud migration.
Traditional BI vs. Business Data Lake – A ComparisonCapgemini
Traditional BI systems have limitations in handling big data as they are not designed for unstructured data and have data latency issues. A business data lake provides a new approach by storing all raw structured and unstructured data in a single environment at low cost. This allows for near real-time analysis on any data from any source to gain insights.
The Big Picture: Real-time Data is Defining Intelligent OffersCloudera, Inc.
New research shows that 57% of the buying cycle is completed before a prospect even speaks to a company. Marketers already know this, Ninety-six percent (96%) of organizations believe that email personalization can improve email marketing performance. But where do we get this increasingly personal direction? The answer is likely in your customer data. In order to understand your customer needs contextualized in the moment they feel the need to act you will require a platform that can leverage real-time data. Apache Kudu is a Cloudera component that makes dealing with quickly changing data fast and easy. Companies are leveraging next generation data stores like Kudu to build data applications that deliver smart promotions, real-time offers, and personalized marketing. Join us as we discuss modern approaches to real-time application development and highlight key Cloudera use cases being powered by Cloudera’s operational database.
Benchmarking Digital Readiness: Moving at the Speed of the MarketApigee | Google Cloud
This document discusses how companies can benchmark their digital readiness and move faster in the digital market. It finds that digital leaders who adopt apps, APIs, and data analytics outperform digital laggards. To move up, companies need business and technology leadership. They should think strategically about customer experience, operations, data, and innovation to access new revenue channels beyond direct monetization. Technologically, companies should take a "cloud first" and "outside in" approach to deliver fast, differentiated customer experiences through systems of engagement built on APIs and backends.
Strategy session 5 - unlocking the data dividend - andy steerAndy Steer
"A recent study completed by IDC examined the economic benefits accrued to organisations that made basic levels of investment in distinct areas of analytics and data management compared with the benefits accrued by organisations that opted for a broader and more diverse set of investments. The conclusion was that the leading organisations expect to capture in excess of $1.5 trillion more in value from their data and analytics initiatives over the next 4 years. This represents a 60% higher data dividend for the leading organisations.
To achieve these benefits organisations need to embrace the changing reality of the new data driven society and make a break from the beliefs and best practices inherent in traditional Business Intelligence programmes.
During the presentation Andy will expand on the data dividend concept, outline the 4 key investment areas that should be getting your attention and perhaps most importantly, explain how your existing SAP BusinessObjects technology can help you take your share of the estimated £53 billion UK data dividend."
What's in store for Big Data in 2015? Will the 'Internet of Things' fuel the Industrial Internet? Will Big Data get Cloudy? Check out the top five Big Data predictions for 2015 according to Quentin Gallivan, CEO, Pentah0
1) Analytics is moving from being IT-led and controlled to being driven by and for the business in order to empower consumers.
2) Analytics needs to shift from the periphery of operations to the center of how business gets done by providing actionable, relevant insights to consumers in the moment.
3) A "Network of Truth" concept is promoted where data is captured and insights are provided organically and locally to benefit consumers, brands, and retailers.
Deliver World Class Customer Experience with Big Data and AnalyticsRaul Goycoolea Seoane
Here are some key insights from analyzing structured and unstructured data:
- There were negative sentiments expressed about the campaign spokesperson on social media which may have turned off younger buyers.
- The target population of younger buyers was smaller than previous campaigns.
- No issues were reported with product availability in stores.
- Some customers complained about issues with the lens zoom feature being stuck.
- Reviews noted the D150 camera was not very user-friendly, though image quality was good.
- Competitors were able to surpass the D150 model in quality, functionality and ease of use according to their marketing messages.
Does this help explain why the younger demographic may not have responded as expected to the campaign
Microsoft Application Lifecycle Management (ALM) integrates governance, development, and operations from idea to retirement. Microsoft's ALM platform focuses on implementing process with minimal overhead, planning and managing projects, and aligning roles across the lifecycle. It allows reporting across project boundaries. The platform provides process templates, tools for planning and visibility, and ensures user comfort by allowing work in familiar tools. It aims to create happy teams and enable success throughout the application lifecycle.
Weiyan Zhao, Nationwide Insurance - A Decade of Data Science. The Nationwide ...Sri Ambati
This session was recorded in NYC on October 22nd, 2019 and can be viewed here: https://youtu.be/_RxH-bNRqp0
A Decade of Data Science. The Nationwide Journey
The Nationwide Enterprise Analytics Office (formerly Customer Insights and Analytics) has more than 10 years of experience in end-to-end data product development and system integration. The culture to attract, train and develop talent, the technical advancement to apply the new methods, the model factory to productionalize models, and responsive processes to measure business impact have all contributed to positive business outcomes as well as this team’s fast growth. In this talk, we will introduce Nationwide’s data science capabilities through case studies of a few data products they have built and deployed.
Bio: Weiyan Zhao is the Director of Data Science at Nationwide Insurance’s Enterprise Analytics Office. She currently leads a team of data scientists to provide enterprise solutions that drive business value and influence decisions through application of advanced statistical modeling and machine learning techniques. Previously, Weiyan served as an Analytics Manager at Chase, and as a Research Associate at Nationwide Children’s Hospital and at University of Texas at San Antonio. She received her PhD in Epidemiology and Statistics, and has been passionate about data and analytics throughout her career. Additionally, she is also a long term volunteer for different non-profit organizations to promote culture and diversity, and mentors young professionals.
An Overview of the Neo4j Cloud Strategy and the Future of Graph Databases in ...Neo4j
This document discusses how graphs and cloud computing can accelerate innovation. It notes that all data and organizations are naturally connected in complex ways and graphs are core to modern intelligent applications. Connections in data help with personalization, recommendations, health, fraud prevention, and more. The document highlights growing adoption of graph databases and Neo4j's cloud-managed graph database service, Neo4j Aura, which provides simplicity, flexibility, reliability, and empowers faster iteration and collaboration in the cloud.
Optimize your cloud strategy for machine learning and analyticsCloudera, Inc.
Join industry superstars Mike Olson (Cloudera CSO and co-founder) and Jim Curtis (451 Research senior analyst) as they outline the best practices for cloud-based machine learning and analytics in this “can’t miss” webinar.
Hot topics include:
Why enterprises are moving their analytics to the public cloud
How to select the best cloud deployment model
Design tricks that make cloud economics work
Success stories, cautionary tales, and lessons learned
James will share 451 Research findings and offer insights learned from surveying both the vendor landscape and enterprise practitioners.
.
Mike will regale you with his vision for the future of multi-disciplinary machine learning and analytics in hybrid- and multi-cloud environments
3 things to learn:
Why enterprises are moving their analytics to the public cloud
How to select the best cloud deployment model
Design tricks that make cloud economics work
Meg Mude, Intel - Data Engineering Lifecycle Optimized on Intel - H2O World S...Sri Ambati
This session was recorded in San Francisco on February 5th, 2019 and can be viewed here: https://youtu.be/cnU6sqd31JU
Developing meaningful AI applications requires complete data lifecycle management. Sourcing, harvesting, labelling and ensuring the conduit to consume data structures and repositories is critical for model accuracy....but, one of the least talked about subjects. Intel’s optimized technologies enable efficient delivery of complete data samples to develop (and deploy) meaningful outcomes. During this session, we’ll review the considerations and criticality of data lifecycle management for the AI production pipeline.
Bio: Meg brings more than 17 years of global product, engineering and solutions experience. She is presently a Solutions Architect with Intel Corporation specializing in Visual Compute and AAI (Analytics and AI) Architecture. She is passionate about the potential for technology to improve the quality of peoples’ lives and humanity on the whole.
Cloudera Fast Forward Labs: Accelerate machine learningCloudera, Inc.
Machine learning and artificial intelligence can change the world. Diagnosing heart disease. Detecting fraud. Predicting insurance claims. Revolutionizing agriculture. In business, machine learning and artificial intelligence drive new sources of revenue and lower costs.
But executives struggle to define an investment strategy. Researchers introduce innovations in machine learning daily. Technical jargon is opaque. Vendor hype muddies the waters. Industry analysts cover the field, but only at a high level.
Cloudera Fast Forward Labs accelerates your machine learning journey. We deliver a unique blend of applied research and hands-on explanations that you can apply to your business today.
In this webinar you will:
Meet the Cloudera Fast Forward Labs team
Cut through machine learning hype
Explore recent examples of applied research
See exciting new ML techniques
Hear how machine learning is delivering real business value on multiple use cases
3 things to learn:
Explore recent examples of applied research
See exciting new ML techniques
Hear how machine learning is delivering real business value on multiple use cases
Analyzing Unstructured Data in Hadoop WebinarDatameer
Unstructured data is growing 62% per year faster than structured data. According to Gartner, data volumes are set to grow 800% in aggregate over the next 5 years, and 80% of it will be unstructured data.
This on-demand webinar will highlight and discuss:
How applying big data analytics to unstructured data can help you gain richer, deeper and more accurate insights to gain competitive advantages
The sources of unstructured data which include email, social media platforms, CRM systems, call center platforms (including notes and speech-to-text transcripts), and web scrapes
How monitoring the communications of your customers and prospects enables you to make time-sensitive decisions and jump on new business opportunities
Top 5 Business Intelligence (BI) Trends in 2013Siva Shanmugam
Below are a few trends that we believe are going to gain momentum this year.
Agile IM
Cloud BI / SaaS BI
Mobile Business Intelligence
Analytics
Big Data
Transformacion del Negocio Financiero por medio de Tecnologias CloudRaul Goycoolea Seoane
This document discusses how cloud technologies can transform businesses. It provides an overview of Xertica, a leading cloud consulting firm in Latin America. The document then discusses how various industries like financial services, retail, and manufacturing are using technologies like cloud platforms, machine learning, and analytics to improve areas such as customer service, risk management, and modernizing legacy infrastructure. Specific customer examples are provided for each area to illustrate the business benefits seen such as reduced costs, improved efficiencies and increased innovation.
Reveal the Intelligence in your Data with Talend Data FabricJean-Michel Franco
Discover the Winter'20 release of Talend Data Fabric.
Find out about the newly released product, Talend Data Inventory, and the powerful new capabilities and AI that accelerate and modernize data engineering. Find out how to:
- Ensure trusted data at first sight with Data Inventory
- Increase efficiency and productivity with Pipeline Designer
- Automate more integration tasks with AI and APIs
This document outlines 10 business intelligence trends to expect in 2013. It predicts that organizations will recognize data stored in multiple places like Hadoop and transactional databases is optimal. Hadoop will become mainstream for large and unstructured data. Self-service BI will evolve to self-reliance as users gain access to the right data and solutions. The value of unstructured data like text will be recognized as techniques to analyze it mature. Cloud BI will become a primary analytics solution and visual analytics will become common for exploring and communicating data trends.
Big Data Everywhere Chicago: Platfora - Practices for Customer Analytics on H...BigDataEverywhere
Hadoop use cases have historically trended towards cost reduction through data warehouse offload. More recently, an uptick around customer-centric use cases have proven the ability for Hadoop to drive top-line revenue. In this session, Platfora solution architect Rob Rosen will discuss how the ability to coreelate multi-structured data in Hadoop leads to greater customer adoption, expanded cross-selling and reduced customer churn for enterprises deploying Hadoop-centric data lakes.
This presentation will discuss the stories of 3 companies that span different industries; what challenges they faced and how cloud analytics solved for them; what technologies were implemented to solve the challenges; and how they were able to benefit from their new cloud analytics environments.
The objectives of this session include:
• Detail and explain the key benefits and advantages of moving BI and analytics workloads to the cloud, and why companies shouldn’t wait any longer to make their move.
• Compare the different analytics cloud options companies have, and the pros and cons of each.
• Describe some of the challenges companies may face when moving their analytics to the cloud, and what they need to prepare for.
• Provide the case studies of three companies, what issues they were solving for, what technologies they implemented and why, and how they benefited from their new solutions.
• Learn what to look for one considering a partner and trusted advisor to assist with an analytics cloud migration.
Traditional BI vs. Business Data Lake – A ComparisonCapgemini
Traditional BI systems have limitations in handling big data as they are not designed for unstructured data and have data latency issues. A business data lake provides a new approach by storing all raw structured and unstructured data in a single environment at low cost. This allows for near real-time analysis on any data from any source to gain insights.
The Big Picture: Real-time Data is Defining Intelligent OffersCloudera, Inc.
New research shows that 57% of the buying cycle is completed before a prospect even speaks to a company. Marketers already know this, Ninety-six percent (96%) of organizations believe that email personalization can improve email marketing performance. But where do we get this increasingly personal direction? The answer is likely in your customer data. In order to understand your customer needs contextualized in the moment they feel the need to act you will require a platform that can leverage real-time data. Apache Kudu is a Cloudera component that makes dealing with quickly changing data fast and easy. Companies are leveraging next generation data stores like Kudu to build data applications that deliver smart promotions, real-time offers, and personalized marketing. Join us as we discuss modern approaches to real-time application development and highlight key Cloudera use cases being powered by Cloudera’s operational database.
Benchmarking Digital Readiness: Moving at the Speed of the MarketApigee | Google Cloud
This document discusses how companies can benchmark their digital readiness and move faster in the digital market. It finds that digital leaders who adopt apps, APIs, and data analytics outperform digital laggards. To move up, companies need business and technology leadership. They should think strategically about customer experience, operations, data, and innovation to access new revenue channels beyond direct monetization. Technologically, companies should take a "cloud first" and "outside in" approach to deliver fast, differentiated customer experiences through systems of engagement built on APIs and backends.
Strategy session 5 - unlocking the data dividend - andy steerAndy Steer
"A recent study completed by IDC examined the economic benefits accrued to organisations that made basic levels of investment in distinct areas of analytics and data management compared with the benefits accrued by organisations that opted for a broader and more diverse set of investments. The conclusion was that the leading organisations expect to capture in excess of $1.5 trillion more in value from their data and analytics initiatives over the next 4 years. This represents a 60% higher data dividend for the leading organisations.
To achieve these benefits organisations need to embrace the changing reality of the new data driven society and make a break from the beliefs and best practices inherent in traditional Business Intelligence programmes.
During the presentation Andy will expand on the data dividend concept, outline the 4 key investment areas that should be getting your attention and perhaps most importantly, explain how your existing SAP BusinessObjects technology can help you take your share of the estimated £53 billion UK data dividend."
What's in store for Big Data in 2015? Will the 'Internet of Things' fuel the Industrial Internet? Will Big Data get Cloudy? Check out the top five Big Data predictions for 2015 according to Quentin Gallivan, CEO, Pentah0
1) Analytics is moving from being IT-led and controlled to being driven by and for the business in order to empower consumers.
2) Analytics needs to shift from the periphery of operations to the center of how business gets done by providing actionable, relevant insights to consumers in the moment.
3) A "Network of Truth" concept is promoted where data is captured and insights are provided organically and locally to benefit consumers, brands, and retailers.
Deliver World Class Customer Experience with Big Data and AnalyticsRaul Goycoolea Seoane
Here are some key insights from analyzing structured and unstructured data:
- There were negative sentiments expressed about the campaign spokesperson on social media which may have turned off younger buyers.
- The target population of younger buyers was smaller than previous campaigns.
- No issues were reported with product availability in stores.
- Some customers complained about issues with the lens zoom feature being stuck.
- Reviews noted the D150 camera was not very user-friendly, though image quality was good.
- Competitors were able to surpass the D150 model in quality, functionality and ease of use according to their marketing messages.
Does this help explain why the younger demographic may not have responded as expected to the campaign
Microsoft Application Lifecycle Management (ALM) integrates governance, development, and operations from idea to retirement. Microsoft's ALM platform focuses on implementing process with minimal overhead, planning and managing projects, and aligning roles across the lifecycle. It allows reporting across project boundaries. The platform provides process templates, tools for planning and visibility, and ensures user comfort by allowing work in familiar tools. It aims to create happy teams and enable success throughout the application lifecycle.
The document provides an overview of key physics equations and concepts for Form 4 students, including equations for relative deviation, prefixes, units for area and volume, equations for average speed, velocity, acceleration, momentum, Newton's laws of motion, and impulse. Key terms are defined for important concepts like displacement, time, mass, force, and velocity. Formulas are presented for calculations involving these fundamental physics quantities and relationships.
Introduction to Agile software testing - The 5th seminar in public seminar series from KMS Technology which have been delivering from 2011 in every two months
This presentation discusses dry granulation as an alternative to wet granulation for tablet manufacturing. Dry granulation involves compressing powders into dense sheets using mechanical pressure between counter-rotating rolls, then milling the sheets into uniform granules. Key advantages of dry granulation include avoiding heat, moisture, and additional ingredients used in wet granulation. The presentation traces the history and development of dry granulation techniques from early slugging methods to modern roller compaction. Factors in selecting between wet and dry granulation include material properties, stability requirements, process efficiency, and product specifications.
This document outlines the structure and content for a sample marketing management project. It includes sections on the cover page, index, introduction, competitors, product details, pricing, packaging, distribution, promotion, findings, conclusion, and appendices. The project aims to provide students a template to develop a marketing plan for a selected product, modify it with their own creativity, and demonstrate their understanding of key marketing concepts. It guides students through developing various elements of the marketing mix and product details over 24-30 pages.
Integrated Lifecycle Marketing Workshop: Emerging Channels for Email List Bui...Vivastream
The document discusses emerging channels for email list growth, including text-to-join campaigns, mobile sign-up ads, and social opt-ins. It provides examples of companies that had success using these channels, such as a company that saw a 4x list growth and higher open/click-through rates using mobile sign-up ads targeted at mom audiences. Social opt-ins were also discussed as an effective channel, with one example noting a campaign that received 12,000 shares and 30% unique open rate within 24 hours of a social post.
This document discusses how cloud storage can help solve 3 common enterprise storage problems: offsite data protection, tiered storage, and distributed content collaboration. It provides examples of companies that have used cloud storage to address these issues by reducing costs, improving accessibility and security, and gaining more flexibility and scalability compared to traditional on-premise storage solutions. The document advocates that enterprises initially test cloud storage use cases before committing to long-term agreements.
To refill Canon color cartridges 241 and 241XL, drill holes in the ink chambers and refill with ink. Cover the holes and run 1-3 cleaning cycles using a test image. Leave the cartridge for eight hours before use to ensure best results. Additional refill instructions can be found online for help with any issues.
The document is a map showing the pipeline system of TE Products Pipeline Company LLC. The map depicts pipelines extending across 22 U.S. states from Minnesota in the north to the Gulf Coast in the south. Multiple pipelines connect terminals, delivery points, receipt points and pump stations across the region. Key hubs are located in Chicago, Indianapolis, Cincinnati, Memphis, and along the Gulf Coast including Houston and Port Arthur, Texas.
The lessons imparted in Fish are very simple and provocatively empowering. The authors assert that employees in the workplace have the power to change their own attitudes about their work, creating a positive environment that will not only be more productive but happier in their lives.
Clearly, these are not novel ideas, but what gives them power is that Fish! uses as an example of this management technique the Pike Place fish market in Seattle, which is known for its lively fishmongers tossing fish to and fro. The idea is that if these workers, who have very difficult jobs that are not particularly lucrative, can maintain an amazingly motivated attitude about their work, then so can anyone.
The document discusses how the six intermediate colors are made by mixing primary and secondary colors. Specifically, it states that the intermediate colors are produced by combining a primary color with a secondary color adjacent to it on the color wheel, listing the six intermediate colors as yellow-orange, red-orange, yellow-green, blue-green, red-violet, and blue-violet.
View this webinar with HubSpot's Chief Marketing Officer, Mike Volpe, to find out how you can learn from what HubSpot did and get your company onto a future Inc 500 list and become one of the fastest growing companies: http://www.hubspot.com/how-to-make-the-inc-500-list/
The document describes friendship coupons that can be given as gifts. The coupons allow the recipient to redeem the giver for various acts of service, experiences, or gifts according to what is written on the individual coupons. Examples of coupons included are for a breakfast treat, outing to the mall, babysitting, dinner, and more. All coupons can only be redeemed once according to the stated rules. The document provides the coupons as an example of what was made for a friend's birthday.
American Greetings interview questions and answersroggerring
This document provides guidance and sample answers for common interview questions for a position at American Greetings. It discusses how to answer questions about why you want the job, what you can offer the company, what you know about the company, why you want to work there, discussing salary expectations, and questions to ask the interviewer. The document emphasizes researching the company beforehand, tying your skills and experiences to the role, and portraying enthusiasm and passion for the company's work. It also includes links to additional interview preparation resources.
This document summarizes Barry Williams' presentation on establishing an enterprise data quality strategy. It discusses identifying infrastructure needs, setting quality control initiatives, and developing plans to improve data quality. Specific topics covered include defining data quality, assessing current and desired states, establishing roles and responsibilities, learning from past experiences, and choosing data quality tools and vendors.
There’s a lot of confusion about what depreciation actually is. Some think it has something to do with an asset losing its value while others think that it’s a mechanism for a business to create a fund for the replacement of the asset when it’s no longer functional. Over the next few episodes, let’s take a look at what depreciation really is, how it’s calculated and what impact it has on the income statement, the balance sheet and the cash flow statement. In this presentation, we’ll define depreciation and clarify the concept.
AllAccessSAP 2012 Finale - SAP Slides (incl links)BI Brainz Group
The actual SAP slide deck from our webinar. Click here to gain full details about the event http://everythingxcelsius.com/businessobjects/recording-allaccesssap-xcelsius-sod-update-2013-sap-bi-roadmap-stats/5531
The document discusses SAP Analytics for procurement. It describes how procurement and supply chain organizations are under pressure to reduce expenses and proactively manage supplier risk through continuous supplier and spend intelligence reporting. However, supplier data often requires de-duplication, normalization and enrichment before it can provide useful insights. SAP solutions partner with third-party data providers to empower procurement, finance and supply chain users with supplier and spend analytics capabilities. The document then outlines key components of SAP's offering including data enrichment and classification, spend performance management, and best practices.
The document discusses SAP Analytics solutions for procurement that help address challenges around increasing costs and risk, limited spend visibility, and the need for reliable data through applications that provide spend analytics, supplier risk management, and data enrichment and classification to empower procurement, finance, and supply chain users with strategic supplier and spend intelligence. It highlights SAP's portfolio of procurement solutions including spend performance management, supplier management, sourcing, contract management, and invoice management that integrate analytics applications to optimize business processes.
SAP Analytics provides solutions to help organizations gain insights from supplier and spend data. The solutions address challenges such as lack of spend visibility, unreliable data, and inability to analyze spend by supplier. They involve data enrichment and classification to standardize suppliers, classify spending, and incorporate subject matter expertise to continuously improve data quality. This allows organizations to increase leverage opportunities, improve decision making, and accelerate savings.
The document discusses SAP's Startup Focus Program which aims to help startups build applications on SAP HANA in 6-8 weeks. The program provides startups with free access to HANA for development and testing, training, support, marketing opportunities, and potential funding from SAP Ventures. Several startups that have benefited from the program are highlighted, building solutions in areas like Hadoop management, social media monitoring, predictive analytics, planning and scheduling. The document also advertises an upcoming SAP HANA CodeJam event for startups to do coding and networking at SAP's local office.
CeBIT Keynote: Rethinking Work. The Next Chapter in Social CollaborationSameer Patel
1) Enterprise social software has seen significant growth but adoption by employees has been low, with most employees never using their company's social platform.
2) Social collaboration in businesses currently happens in isolation from actual business processes and applications.
3) The transformational opportunity for social collaboration comes from closing this gap by surfacing social features and collaboration at the point where business decisions are made, actions are taken, and processes are executed. This would allow social collaboration to directly drive key business metrics like revenue, costs, risks, and more.
Real-World Data Governance - Tools of Data Governance - Purchased and Develop...DATAVERSITY
The document discusses tools that can be used to enable and support data governance programs. It describes templates and tools that can be developed internally, such as an operating model to formalize roles and responsibilities, a common data matrix to record accountability for data, and templates for workflows and issue resolution. The webinar will focus on these types of internally developed tools that can help structure and add value to a company's data governance initiative.
The document discusses performance and risk management strategies presented by Henner Schliebs to an analyst briefing. It outlines an agenda covering SAP's portfolio for performance management, managing risk through a virtuous cycle of identifying, analyzing, and monitoring supplier risk, and taking risk response actions. The virtuous cycle involves establishing risk thresholds, collaborating to aggregate supplier risks, and deriving short-term actions from long-term strategies. SAP solutions aim to provide end-to-end visibility and management of risks and performance across the enterprise.
The document provides an overview of SAP's business intelligence solutions as of 2012. It discusses enterprise information management, governance, risk and compliance, analytic applications, enterprise performance management, business intelligence, and data warehousing. The agenda outlines guided tours of these different solution areas, with descriptions of products like Data Services, Master Data Management, and SAP NetWeaver Business Warehouse.
Big data is not just for big companies. Any company can leverage big data to gain business insights and transform their operations. Big data provides opportunities to gain insights from diverse data sources, answer questions in real-time, and unlock new business value and strategies. While big data solutions require identifying pain points, inventorying data streams, and testing pilots, any company can start to capitalize on big data through a trusted partner to help address critical issues around data volume, velocity, and variety.
Explore New Directions in Financials, Performance Management, and GRCSAP Analytics
This document provides a summary of SAP's solutions for finance, performance management, and governance, risk, and compliance (GRC). It discusses how SAP helps organizations ensure regulatory compliance, manage risk, improve financial performance, and gain insights through analytics. The document also outlines SAP's strategy around in-memory computing, mobility, cloud computing, and analytics.
SAP HANA is an in-memory computing platform that allows organizations to store and process vast amounts of structured and unstructured data in real time. The document discusses how SAP HANA can help finance organizations overcome challenges related to processing large and diverse financial data by providing real-time insights, access to up-to-date information, and accelerated financial analytics and reporting. Specific solutions powered by SAP HANA that are highlighted include accelerators for profitability analysis, financial accounting and controlling, operational reporting, and data integration with SAP ERP. The benefits to customers include making smarter decisions, empowering users with real-time data, and accelerating key finance processes.
Group C6 consists of 6 students: Anand P, Irshad Anwar, Mohamed Anas, Prabhu P, Ram Kumar V, and Shyam Prasath B.
SAP is a German multinational software corporation that makes enterprise software to manage business operations and customer relations. It is the largest business software company in the world. To foster innovation, SAP adopted new strategies like establishing co-CEOs, acquiring companies, developing products faster, and simplifying processes using Lean principles. These changes helped SAP adapt to new technologies and business models to remain competitive.
Karya Technologies provides enterprise services including IT strategy and software applications to improve operational efficiency. They offer solutions for data management, integration platforms, cloud services, and consulting. Their expertise is bolstered by strategic alliances with technology companies. Karya engages clients through comprehensive and cost-effective solutions tailored to their needs. Their enterprise solutions portfolio focuses on data management, ERP/CRM platforms, and cloud services for small and medium enterprises.
Richard Neale | Enterprise Wide Business IntelligenceTomOwenHughes
Pervasive business intelligence (BI) provides three key benefits: (1) quicker information and decisions across more departments and employees, (2) improved organizational performance and reduced BI costs, and (3) increased effectiveness, efficiency, and innovation. However, common barriers to pervasive BI include complex tools, data silos, and a lack of skills and sponsorship. Achieving a pervasive BI strategy requires establishing centralized governance, using common standards and technology, and gaining executive support to overcome these barriers.
SAP presented on its mobility strategy and portfolio. Key points include:
1) SAP aims to innovate, accelerate, and simplify mobility through its mobile strategy and Sybase Unwired Platform.
2) SAP is ranked #1 in mobile and #3 in most influential companies in mobility.
3) SAP's mobility solutions provide benefits like increased productivity, responsiveness, and customer satisfaction.
4) SAP's mobility platform supports all common devices and both SAP and partner-built applications.
#askSAP Analytics Innovations Community Call – Bridging the Information GapSAP Analytics
Imagine your business taking advantage of intelligent decision making with all aspects of your business, in real-time and effortlessly, consistent and reliable day-by-day. Now, consider doing this without the need to acquire, setup or maintain any additional hardware.
In our second #askSAP Community Call of the year, we will take it up a notch. This time around we’ll bring together experts you haven’t heard before to bring this vision to life. See in action how one holistic data management framework can enable confident decision making, which includes:
Simplifying access to your data by providing live real-time access to all data sources in a distributed landscape
Providing a single point of access for security and anonymization, while reducing data duplication
Giving you intelligent data that you can rely on by taking advantage of advanced analytics tools to deliver intelligent solutions
Reducing TCO by minimizing management costs and enabling self-service for business users
In addition, Puget Sound Energy, an SAP customer in the Washington State public sector utility, will share how they’re reimagining industry processes for increased employee engagement and organizational success. Learn how they combine the power of SAP SuccessFactors solutions and Labor Relations Software by Sodales, an application extension built on SAP Cloud Platform, to enhance engagement with the unionized workforce. This successful HR transformation is expected to reduce operational expenses and positively impact organizational integrity.
Optimize Business Intelligence Efforts With Embedded, Application-Driven Anal...SAP Analytics
Want to discover, procure, and provision business intelligence data more effectively? Forrester Consulting has a suggestion: embedded, application-driven analytics.
#askSAP Analytics Innovations Community Call: SAP Analytics 2019 Strategy and...SAP Analytics
Whether it’s growing a loyal customer base, pressure from innovative competitors, or retaining top talent, there is no shortage of strategic decisions to make by businesses today. SAP is tackling these challenges head-on by delivering the Intelligent Enterprise, and SAP Analytics is the glue that connects all the pieces together – from data right through to intelligence. Whether through new cloud technologies, existing on-premise investments, or every possible hybrid combination, SAP Analytics enables businesses to make faster, more confident decisions. In this webinar you will learn about what's ahead in 2019 for SAP Analytics. Visit www.sap.com/asksap to view the recording.
#AskSAP Analytics Innovations Community Call: SAP Analytics Fall 2018 Innovat...SAP Analytics
Analytics are the window into an Intelligent Enterprise and the landscapes are always changing, evolving, and improving. We’ve gone from ‘governed BI’ to ‘modern and agile BI with data discovery’, to the acceptance of cloud analytics and now emergent ‘smart BI’ using AI and machine learning to provide natural language interfaces. Innovation is moving both technology and the benefits it can offer organizations rapidly forward - on premise, in the cloud, and hybrid.
Discover how we’re bringing analytics together, making analytics easier, and delivering modern innovation in the cloud. Visit www.sap.com/asksap
#askSAP Analytics Innovations Community Call: Become an Intelligent Enterpris...SAP Analytics
New digital technologies allow companies to make core business processes more intelligent. Companies can automate business processes and augment employee's capabilities to let them do more than they could do before with more focus on strategic tasks based on real-time and forward-looking insights. This shift is accelerating in every industry and compelling every organization to transform into an intelligent enterprise to nimbly adapt to new market realities. SAP S/4HANA is the digital core platform to become such an intelligent enterprise. This digital transformation is driving the need for more analytics and a big opportunity which occurs through this transformation is to give all employees, partners and customers, immediate and forward-looking insights into what is going on and what is going to happen next.
#askSAP Analytics Innovations Community Call: SAP 2018 strategy and Roadmap f...SAP Analytics
Today companies need modern analytics capabilities that work together to analyze data wherever it resides for enterprises of all sizes and across every industry. To help them better understand that data and to help simplify and transform their business there are different technology options available - on premise, cloud, and hybrid. Hear SAP product experts share SAP’s roadmap and vision for business intelligence and data discovery covering these technology options
#asksap Analytics Innovations Community Call: SAP BW/4HANA - the Big Data War...SAP Analytics
Learn how SAP BW/4HANA delivers big data warehouse solutions that meet your current and future business analytics needs in a rapidly changing data landscape and increase your organization’s success in the next generation of business.
This presentation by Timo Elliott given at the 2017 SAP Insider event in Amsterdam provides an overview of SAP Leonardo, a "digital innovation system."
#askSAP Analytics Innovations Community Call: Delivering the Intelligent Ente...SAP Analytics
This webcast provided an overview of machine learning and predictive analytics solutions from SAP and Accenture. SAP Leonardo is SAP's digital innovation system that enables machine learning and artificial intelligence. SAP Predictive Analytics is a machine learning platform, and SAP Predictive Analytics Integrator allows embedding predictive capabilities into SAP applications. Accenture has developed over 50 enterprise predictive analytics applications using SAP technologies across industries. Examples were given of inventory optimization and supply chain applications.
Data & Analytics: The Competitive Edge for Small and Midsize BusinessesSAP Analytics
To further explore how small and medium businesses are using analytics for decision making, download the IDC paper, “Analytics for SMBs: Sharpen Operations, Capitalize on Business Opportunities,” sponsored by SAP: http://bit.ly/2qQkWf6.
Data Analytics Help Drive Digital Transformation InfographicSAP Analytics
Digital transformation has become a board-level initiative at many companies. A key part of this investment is being focused on data and analytics.
For more on how data and analytics is being used in digital transformation, download the IDC paper, “The Value of Data & Analytics in Digital Transformation”, sponsored by SAP. Download here: http://bit.ly/2siS5QY
#askSAP: Journey to the Cloud: SAP Strategy and Roadmap for Cloud and Hybrid ...SAP Analytics
www.sap.com/businessobjects-cloud. The momentum of customers moving to the SAP BusinessObjects Cloud is rapidly accelerating – and so are the innovations being introduced by SAP. New features and functionality for cloud and on premise with SAP BusinessObjects Enterprise offer hybrid use cases that organizations can take advantage of as they embark on their journey to the cloud. View the webinar reply at http://webinars.sap.com/asksap-webinar-series/en/home#section_3.
Unify Line of Business Data with SAP Digital BoardroomSAP Analytics
Data analytics and business intelligence tools are becoming more important for organizations to gain insights from their data and make better decisions. However, traditional analytics platforms can be complex, expensive, and siloed. A new generation of analytics solutions aims to simplify analytics, provide a unified view of data across an organization, and deliver insights more affordably and accessibly.
#asksap Analytics Innovations Community Call - Take Action in 2017 with Innov...SAP Analytics
Learn more about the highly anticipated 2017 release of SAP BusinessObjects Lumira 2.0, the expanded modeling and scalable machine learning capabilities of SAP BusinessObjects Predictive Analytics 3.1, and the extended availability of SAP BusinessObjects Roambi.
Companies using SAP BusinessObjects Analytics solutions have achieved significant improvements and savings. For a deeper look, read the October 2016 Forrester Consulting study, “The Total Economic Impact™ of SAP BusinessObjects Analytics: Cost Savings and Business Benefits,” commissioned by SAP.
For more, please visit: http://bit.ly/2g00ntG
#askSAP EPM Innovations Community Call: How Planning Can Ignite Digital Trans...SAP Analytics
SAP.com/EPM - With various planning solutions available at SAP including SAP BusinessObjects Planning and Consolidation, version for SAP NetWeaver and SAP BusinessObjects Cloud for planning, get a better understanding on how using one or both of these tools can help drive Digital Transformation in the Enterprise.
Learn what the latest releases of these SAP solutions offer and how they can work together to bring further insights to the Finance department.
#askSAP Analytics Innovations Community Call: Innovation in Core BI Solutions...SAP Analytics
Where is SAP BusinessObjects BI headed, and how will your organization benefit?
See how SAP is delivering on its commitment to innovate its business intelligence (BI) applications. With SAP BusinessObjects BI 4.2 now available, now is a perfect time to explore what this new release has to offer and hear about announcements made at SAPPHIRE NOW 2016.
#askSAP GRC Innovations Community Call: Cybersecurity Risk and GovernanceSAP Analytics
How is your organization tackling ever increasing cybersecurity threats? Do you have the proper structure and methods in place to effectively mitigate this constantly evolving risk?
Get a sneak preview on how SAP is helping companies embrace the age of digital transformation while rethinking their security strategy, especially as it relates to protecting business applications and improving overarching risk and governance programs.
#askSAP EPM Innovations Community Call: Transform Finance into Instant InsightSAP Analytics
The presentation provided an overview of SAP's Business Planning and Consolidation (BPC) solutions and discussed future directions. It demonstrated new capabilities for BPC optimized for SAP S/4HANA Finance, including real-time planning and reporting integration. The presentation also discussed the embedded model for BPC on SAP NetWeaver, which currently supports planning but will future support real-time consolidation directly in SAP S/4HANA. Overall the presentation highlighted SAP's focus on continued innovation for its BPC solutions through new capabilities, integration with other SAP products, and a unified user experience.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
In order to be remarkable and run better, you need to be smart about your business.This applies to all businesses regardless of line of business, industry, and location.It should apply not just within the organization, but right across your ecosystem.
Wouldn’t youlike to have meaning for everyone, everywhere, and at anytime?Whether it is about yourcustomers, products, employees, competition, market, or the world. Regardless of where you sit in an organization, while the context for knowledge is different, the basic set of questions remains the same.As Tom Davenport – well renowned author in this field confirms – all people spend a great deal of time trying to understand:why things happened?what is happening?what will happen in the future?what is the risk if it does or does not happen?and how will I prevent it from happening again or ensure it happens more in the future, and ultimately what is the best course of action?For example … what are your most important functions? Customer? Supply chain management? HR? Finance? (select one or two – depending on the customer response)1. Customer relationship managersneedto segment their customers and identifytheir best ones. They needto understand customer behaviors,predict their customers’ wants andneeds, and offer fitting products andpromotions. They price products formaximum profitability at levels thatthey know their customers will pay.Finally, they need to identify the customers atgreatest risk of attrition and interveneto try to keep them.2. Supply chain and operations managersNeed to understand how to optimize inventory levels and deliveryroutes, for example. They also need to segmenttheir inventory items by cost andvelocity, build key facilities in thebest locations, and ensure that theright products are available in theright quantities.3. Human resources managers, need to know about all the people they are hiring or how to retain employees. Just as sports teams need to know the best players,firms need toselect valuable employees and identifythose who are most likely to depart.4. Finance and accounting managers: Need to determine whichfactors truly drive financial performance.In this era of instability, financialand other firms need tomonitor and reduce risk.Can you imagine the possibility (select a couple that match the areas above)?:--If you could know the minute a competitor had a stock out or a plant that went down the moment it happened, (Supply chain management) or rumors of an acquisition as soon as someone blogged about it (finance).--If you could respond immediately to a compliance alert by collaborating instantly with all stakeholders, adjust operations, or plan as necessary and move on BEFORE it becomes a regulatory issue – ultimately preventing fines, public announcements, etc. (finance)--If you could know the behavior of your customers by understanding their buying habits and doing a simple analysis of the mentions of your product on their Facebook or Twitter account,and then launch a campaign around their needs (customer)-- If you could prevent an oil line from breaking, instantly predict the # of high risk loans in a quarter, be notified when there’s a shift in the economy and the effect on your company for the quarter (finance)-- If you could predict the likelihood of your best talent leaving (HR)Well, this can only happen if we address some of the most critical issues all businesses are faced with.
It is increasingly difficult to know all things about your business.Companies need to answer the most basic questions … with increasing volumes of information that change at an exponential rate.And there is an expectation to have access to this information anywhere and instantly.There are several mega trends transforming business.Mass adoption of mobile devices… According to IDC nearly ½ a billion smartphones would ship last year (2011), rising to almost a billion shipments in 2015.JP Morgan, the largest US lender by assets (http://blogs.wsj.com/deals/2011/11/29/ranking-the-largest-u-s-banks-j-p-morgan-ascends-to-the-top-spot/), will distribute iPads free of charge to all associates in its global investment banking division.Viral adoption of social media and the importance of companies to learn how to leverage this information; Facebook has over 800 million users. Twitter no longer publishes the number as openly, but most estimates put it north of 200M, and Google+ is approaching 100M. The total # of text messages sent and received every day exceeds the totalpopulation of the planet. The number of tweets per day has already passed 200 million (http://blog.twitter.com/2011/06/200-million-tweets-per-day.html).Exponential growth of information. According to Cisco, “By 2015, annual global IP traffic will reach 966 exabytes - nearly a zettabyte.” For context, a zettabyte is a billion terabytes! You can think of it as the equivalent of 250 billion DVDs, 36 million years of HD video, or the volume of the Great Wall of China if you allow an 11oz cup of coffee to represent a gigabyte of data. (http://www.engadget.com/2011/06/29/visualized-a-zettabyte/)Growth of cloud computing: According to a Forrester report, the global cloud market is estimated to be $241 Billion by 2020.Heightened risk and increasing compliance regulations. There are 1000’s of regulations companies are faced with and it continues to grow. It is an alphabet soup of IFRS, XBRL, Environmental regulations Organizations are reallocating their resource spend. Since the beginning of the recovery the number of jobs has only risen by 1.4%; in the same time, investment in equipment and software has risen by 31%, reflecting a major shift towards machines and software rather than people.It used to be that companies were ‘built to last’ and now they need to be ‘built to change’ and armed with the knowledge to do so.Fortunately – analytics solutions from SAP can help everyone in the organization to minimize risk, maximize shareholder value, reduce costs … and ultimately run better.Sources:1B smartphones: http://www.idc.com/getdoc.jsp?containerId=prUS228716111B social media: http://www.facebook.com/press/info.php?statistics; http://www.mediabistro.com/alltwitter/how-many-twitter-users_b13110; http://www.pcmag.com/article2/0,2817,2399108,00.asp1 zettabyte: http://www.cisco.com/en/US/netsol/ns827/networking_solutions_sub_solution.html#~forecastCloud market in 2020: http://www.computerweekly.com/news/1280095776/Global-cloud-market-to-reach-240bn-by-20201,000 regulations: 31% increase: http://online.wsj.com/article/SB10001424052970204468004577164710231081398.html
These customers ran better with SAP and they shared their best practices with us.Let’s take a look at the common best practices ..First – Know Your Business.All of these organizations were able to really know their business because they had:Variety of tools and delivery mechanisms to - Access all relevant information across their business network– anywhere, anytimeTrust in the quality of their information – no duplicate records or unclean dataUnderstanding of information in the context of their industry and role, quickly and easilyA great example of this is Molson Coors.Molson Coors uses analytics solutionsfrom SAP to receive real time insight into inventory levels and prevent stock out. This means for you – there will always be Molson Coors available in stores when you need it – on a warm summer afternoon, at the beach or at an evening celebration. Second – Decide with ConfidenceAll of these organizations were able to make decisions with confidence because they can:Plan and align on performance goals and metrics Understand business impacts, then model and predict future directionsProactively balance risks and opportunitiesA great example of this is Under Armour.Under Armouruses analytics solutions from SAP to bring together information in their data warehouse, point of sales systems and sources outside of their organization – for example, via social media channels. They look at the information holistically to create the most accurate plans, minimize risk in the decisions they make and stay on top of who their customers are and how to appeal to them. All of this – easily and quickly. Third – Act BoldlyAll of these organizations were able to act boldly because they could:-Respondinstantly to events as they unfold - Collaborate and take coordinated action on the best decision- Learnfrom best practices, adapt and continually improve over timeWhat better example of this than FonterraFonterra is the world’s leading exporter of dairy products, Fonterra Cooperative Group Ltd faces massive challenges with export documents. To streamline export processes, Fonterra implemented the SAP® BusinessObjects™ Global Trade Services application. With its help, Fonterra has standardized and automated these processes internationally, increased export documentation officer productivity, reduced compliance risks, and improved accuracy and timeliness. “We have already boosted throughput by 25%,” reports Clyde Fletcher., Global Documentation Manager. “We have many plans to improve it further by tuning the software and our processes, by extending the application’s reach to the rest of the world, and by bringing several outsourced functions in-house where we can now perform them much less expensively. By the end of year four we fully expect to be 100% more productive in exporting, and we haven’t even touched importing yet, which likely offers all the same benefits.”
How do we achieve this? The customers we referenced earlier were using a combination of a number of key components:Data Warehouse Management A key requirement to better facilitate reporting and analysis – stores volumes of data and serves it up rapidly without impacting operational systemsFor example … 2) Enterprise Information Management The primary focus here is on delivering trusted information to the organization, for consumption by a variety of applications and business users. “Turning data into decision-quality information you can trust.”For example …3) Business Intelligence Delivers a set of tools that can be used by business professionals to have an integrated view of corporate information for decision making. “Turning information into insight for better decision making.”For example …4) Enterprise Performance ManagementIs about delivering an environment where performance is captured, understood and adjusted according to the execution needs of the organization. It builds on the other areas, capturing and sharing information specific to strategy, operational and financial planning and forecasting and reporting. “Using insight and informed decisions to drive strategy and alignment.”For example …5) Governance, Risk, and ComplianceDelivers a comprehensive platform to manage GRC on an ongoing basis, ensures that internal and external rules are followed and enforced, and controls access to systems and information. “Making risk and compliance part of decision-making, strategy, and performance management.”For example …6) Analytic Apps Purpose-built role and industry specific applications that provide information in context with a rapid time to valueFor example …7) CollaborationYou can engage with your team, your organization, or your extended network to collaboratively make decisions and take coordinated action.Do you know why SAP is better placed than any other vendor to do this?
Only SAP can deliver a TRUSTED 360-degree viewData quality and other information management capabilities enable you to have complete and trusted insight of all information across your organization – whether it be from transactions, operational performance, or external information from the internet or social media.Plus you can also see the quality ratings of the information your are looking at so you can determine the level of trust you have in the information.In addition, only SAP has the capability to build in risk information and compliance monitoring information so you can be confident that the decisions you make are in compliance and you can make the right calculated risk for your organization.SAP can deliver information LIGHTNING FAST via a technology called “In-memory computing”Can you imaginereceiving information many times faster than traditional databases? Think of that one reportthat takes 20 minutes to run. Would you like to get that back within seconds? Consider the impact across 100s of reports, calculations, predictions…What if you coulddrastically reduce costs by having real-time price information from different vendors included in the creation of a purchase order – so you could select the best quote?answer within split seconds where medications of a bad batch are stored in a heterogeneous supply chain?SAP delivers an Engaging user experience that’s EASY to useAre SAP and ease of use synonymous? Today they are!Now you can have the information you need wherever you happen to be. Whether you are Mickey at Disney or an emergency medical team in the field, you have the ability to interact with data in the way you need it, as events take place and with the right visualization depending on the situation.Our solutions provide a harmonized user experience: whether you access the information via a mobile device or your PC, via a dashboard or a report, the UI is consistent – one experience to learn and a very easy and intuitive experience.SAP enables you to leverage your information ANYTIMEWhen and where are you likely to need access to information in your organization?If it makes sense to access analytics via a mobile device we can do that. Do you need to implement analytics on premise or on demand? We can do both.With our mobile options you have the capability of using analytics via any mobile device and platform and have complete peace of mind when it comes to security of the information.SAP delivers analytics with pre-builtINDUSTRY/LoB EXPERTISEWe take a very industry specific and business process centric view of what analytics are needed for each role.We offer over 20 industry- and LoB-specific analytic applications. These are purpose built with our customers and partners to meet very specific analytic needs in the context of your industry and your business functions. They provide quick time to value with best practices, best KPIs, data models, reports, and dashboards. The purpose: to bring meaning and immediate knowledge into your organization, tailored to individuals’ roles and your industry.We also have integrated compliance and risk monitoring into the appropriate business processes as well as embedded analytics to deliver best-practice business content directly into SAP Business Suite. SAP Business Suite users now have access tocontent out-of-the-box right their familiar environment to gain immediate value through insights never previously available inside the business process.SAP provides analytics that are COLLABORATIVE and allow you to ‘close the performance management loop’ How often have you required information that was dependent on someone else? No one acts in isolation, right?With analytics solutions from SAP you can engage with your team, your organization, or your extended network to collaboratively make decisions and take coordinated action.Our analytics can be shared and leveraged across all departments or even with your suppliers and customers as needed.As each organization addresses its analytic needs the entire ecosystem can benefit by leveraging the information and best practices, and by extending the analytic capabilities.
It would be unrealistic to think we could deliver on every one of your needs – right?To ensure we meet all of your unique needs we have made sure our Ecosystem is broad and deep enough.Now you can go to ONE place to find a host of analytics to meet your needs.We have 2 million community subscribers, 800 OEM partners and over 2500 SI partners.The SAP ecosystem brings together customers, partners and individuals and is an integral part of how we deliver value to customers.It is part of the SAP business fabric.It enables solutions that best fit YOUR unique needs.
Beckman Coulter –EPMBertelsman – Accelerated Financial Close Bon Secours – EIM, BI Coca Cola (Femsa) – NW BW, BWA Desjardins – EPM Discovery Comm – EPM Dow Corning – LOB Finance – Dispute Mgmt Enfinity – BI Fonterra – GRC Gruma – GRC Grupo Pao de Acucar – BI, EPM Iberiabank – EPMJP Coats - EPM Lionsgate – EPM MAF Retail – EPM, BI Newell Rubbermaid – BI, EPM, GRC Organic Valley – EPM Pioneer Foods – GRC Portsmouth Hospitals – BI, EIMSabre Holdings – BI, EIM Sanofi Aventis – GRCSociete Generale - EPM Sotheby’s – GRC Sperian – EPM Swiss Post – EPM Tesoro – EPM US Air Force – BI Valero – GRC Waters – GRC
How many customers run analytics solutions from SAP?Not an insignificant number – over 67,000.Here is an example of some of the things customers had to say about analytics solutions from SAPWill you extend your use of our solutions today or even start to use them?
How many customers run analytics solutions from SAP?Not an insignificant number – over 45,000.Here is an example of some of the things customers had to say about analytics solutions from SAPWill you extend your use of our solutions today or even start to use them?
How many customers run analytics solutions from SAP?Not an insignificant number – over 45,000.Here is an example of some of the things customers had to say about analytics solutions from SAPWill you extend your use of our solutions today or even start to use them?
How many customers run analytics solutions from SAP?Not an insignificant number – over 45,000.Here is an example of some of the things customers had to say about analytics solutions from SAPWill you extend your use of our solutions today or even start to use them?
How many customers run analytics solutions from SAP?Not an insignificant number – over 45,000.Here is an example of some of the things customers had to say about analytics solutions from SAPWill you extend your use of our solutions today or even start to use them?