In the above presentation some basic concepts have been explained like business intelligence, big data, some key self services business intelligence observations, self service recommendations and challenges.
#MITXData 2014 - Leveraging Self-Service Business Intelligence to Drive Marke...MITX
2014 MITX Data & Analytics Summit
"Leveraging Self-Service Business Intelligence to Drive Marketing Analytics & Insight"
Speaker: Carmen Taglienti (@carmtag), Business Intelligence & Data Management Practice Lead, Slalom Consulting
Advancements in the BI technology ecosystem and the application of these capabilities to marketing analytics has enabled better, faster, and more accurate insight. In addition to the advancements in technology, marketing organizations look to embrace analytics and put the tools that support them into the hands of the decision makers in a “self-service” way. Typically organizations adopt analytics (and the supporting technology) across the enterprise according to the principles of "the analytics driven organization." This session will introduce an Analytics Maturity model that enables an analytics-driven marketing organization to assess current proficiencies, and understand the capabilities required to achieve its desired state of analytics maturity. This discussion will also cover the alignment of technology solutions at the various levels of the Analytics Maturity model, as well as the drive toward “self-service,” easy to use analytics. Finally, the presenter will demonstrate the use of real-time data acquisition and analytics to drive marketing insight.
http://blog.mitx.org/2014-data-summmit/
The promise of self-service analytics asserts that business users should be empowered make data-driven decisions quickly without having to involve the analytics team, while critics say that it could lead to faulty choices. In this presentation we’ll cover topics such as acknowledging diverse customer needs, choosing the right tools, understanding the pitfalls, and considering the future of self-service analytics. And cake.
Summer Shorts: Using Predictive Analytics For Data-Driven Decisionsibi
Predictive analytics has gained a lot of attention in recent years, enabling organizations to make better, faster, and more accurate business decisions. These decisions are applied across virtually all industries to generate revenue, reduce costs and risks, and improve processes.
See the pre-recorded webcast online at: http://www.informationbuilders.com/webevents/online/24374#sthash.FoJkEyuL.dpuf
The document discusses the rise of micro applications and real-time business decisions driven by big data analytics. It emphasizes the importance of integrating micro applications rapidly through API gateways to adapt to changes on one side of an organization without needing to update thousands of devices. It also discusses different types of clouds and analytics that can be used to gain a holistic view of events and make prescriptive decisions based on predictive modeling of big data. Key questions are outlined to drive business value from integrating and analyzing diverse data sources.
Microsoft Next 2014 - Insights session 2 - Turning data into a business advan...Microsoft
Microsoft Next 2014 - Insights session 2 - Turning data into a business advantage: Big Data. Small data. All data, v. Lars Bo Granath, Forretnings ansvarlig - Information Platform, Microsoft Danmark
This document discusses next generation big data business intelligence (BI). It describes traditional BI and how it is evolving to incorporate big data. Key points:
- Traditional BI includes dashboards, KPIs, OLAP, reporting, and forecasting to provide insights from structured data.
- Next generation BI leverages big data technologies like Hadoop and NoSQL databases to handle larger and more diverse unstructured data in batch and real-time.
- This enables deeper insights through analytics across all data, from basic queries to advanced predictive modeling and streaming analysis.
- The modern BI stack incorporates big data technologies alongside traditional data warehousing and OLAP for integrated insights.
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.
#MITXData 2014 - Leveraging Self-Service Business Intelligence to Drive Marke...MITX
2014 MITX Data & Analytics Summit
"Leveraging Self-Service Business Intelligence to Drive Marketing Analytics & Insight"
Speaker: Carmen Taglienti (@carmtag), Business Intelligence & Data Management Practice Lead, Slalom Consulting
Advancements in the BI technology ecosystem and the application of these capabilities to marketing analytics has enabled better, faster, and more accurate insight. In addition to the advancements in technology, marketing organizations look to embrace analytics and put the tools that support them into the hands of the decision makers in a “self-service” way. Typically organizations adopt analytics (and the supporting technology) across the enterprise according to the principles of "the analytics driven organization." This session will introduce an Analytics Maturity model that enables an analytics-driven marketing organization to assess current proficiencies, and understand the capabilities required to achieve its desired state of analytics maturity. This discussion will also cover the alignment of technology solutions at the various levels of the Analytics Maturity model, as well as the drive toward “self-service,” easy to use analytics. Finally, the presenter will demonstrate the use of real-time data acquisition and analytics to drive marketing insight.
http://blog.mitx.org/2014-data-summmit/
The promise of self-service analytics asserts that business users should be empowered make data-driven decisions quickly without having to involve the analytics team, while critics say that it could lead to faulty choices. In this presentation we’ll cover topics such as acknowledging diverse customer needs, choosing the right tools, understanding the pitfalls, and considering the future of self-service analytics. And cake.
Summer Shorts: Using Predictive Analytics For Data-Driven Decisionsibi
Predictive analytics has gained a lot of attention in recent years, enabling organizations to make better, faster, and more accurate business decisions. These decisions are applied across virtually all industries to generate revenue, reduce costs and risks, and improve processes.
See the pre-recorded webcast online at: http://www.informationbuilders.com/webevents/online/24374#sthash.FoJkEyuL.dpuf
The document discusses the rise of micro applications and real-time business decisions driven by big data analytics. It emphasizes the importance of integrating micro applications rapidly through API gateways to adapt to changes on one side of an organization without needing to update thousands of devices. It also discusses different types of clouds and analytics that can be used to gain a holistic view of events and make prescriptive decisions based on predictive modeling of big data. Key questions are outlined to drive business value from integrating and analyzing diverse data sources.
Microsoft Next 2014 - Insights session 2 - Turning data into a business advan...Microsoft
Microsoft Next 2014 - Insights session 2 - Turning data into a business advantage: Big Data. Small data. All data, v. Lars Bo Granath, Forretnings ansvarlig - Information Platform, Microsoft Danmark
This document discusses next generation big data business intelligence (BI). It describes traditional BI and how it is evolving to incorporate big data. Key points:
- Traditional BI includes dashboards, KPIs, OLAP, reporting, and forecasting to provide insights from structured data.
- Next generation BI leverages big data technologies like Hadoop and NoSQL databases to handle larger and more diverse unstructured data in batch and real-time.
- This enables deeper insights through analytics across all data, from basic queries to advanced predictive modeling and streaming analysis.
- The modern BI stack incorporates big data technologies alongside traditional data warehousing and OLAP for integrated insights.
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.
This document discusses a company that provides data excellence solutions including data integration, processing, science, and artificial intelligence. They help clients in industries like media, consumer goods, utilities, and healthcare by building data-driven applications and recommendations. Their solutions are aimed at generating insights, breaking down silos, and providing real-time, personalized insights and recommendations across channels to drive business growth with low risk and high impact.
LoQutus helps organisations to innovate with analytics and to get insights with data visualisation. We also build large scale data layers to enable interaction with core data, and develop data-driven applications to deliver the insights our customers need. During this session we’ll share what we have learned along the way. We’ll show you our framework for self-service analytics & insights, and some successful case studies.
OpenSymmetry - Business Intelligence MaturityOpenSymmetry
OpenSymmetry Breakout Session during the Callidus Customer Connections Conference in Las Vegas - May 2013. Presenter: Trevor Dunham, Director of Business Intelligence with OpenSymmetry
This document discusses eight criteria for choosing a self-service analytics platform: 1) Usability - The interface should be intuitive for both power users and non-technical users. 2) Scalability - The platform should be able to support a growing user base without increasing costs. 3) Security - The platform must have strong data security to safely share information with external users. 4) Data services and integration - The platform should integrate data from various sources and enable access for users. 5) Functionality - The platform should have a broad range of capabilities in a single system to meet different user needs. Real-world examples are provided to illustrate how companies have benefited from self-service analytics.
IBM Virtual Finance Forum 2016: Top 10 reasons to attendIBM Analytics
Explore the top 10 reasons to attend IBM's Virtual Finance Forum 2016 for insights and best practices on performance management in the cognitive era. Attend your choice of three broadcasts of IBM's Virtual Finance Forum 2016: http://bit.ly/oct5am, http://bit.ly/Oct512Noon or http://bit.ly/oct5eve.
Big Data LDN 2018: CONNECTING SILOS IN REAL-TIME WITH DATA VIRTUALIZATIONMatt Stubbs
Date: 14th November 2018
Location: Keynote Theatre
Time: 13:50 - 14:20
Speaker: Becky Smith
Organisation: Denodo
About: How many users inside and outside of your organization access your organization’s data? Dozens? Hundreds is probably more like it, each with their own structure and content requirements as well as different access rights. As a result, many organizations have witnessed the formation of “data delivery mills,” in various shapes and sizes. How does one create order and reliability in this world of chaotic data streams? Quite easily, if it’s done with data virtualization.
According to Gartner, "through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration.” Data virtualization enables organizations to gain data insights from multiple, distributed data sources without the time-consuming processes of data extraction and loading. This allows for faster insights and fact-based decisions, which help business realize value sooner.
Join us to find out more about:
• What data virtualization actually means and how it differs from traditional data integration approaches.
• How you can connect and combine all your data in real-time, without compromising on scalability, security or governance.
• The benefits of data virtualization and its most important use cases.
Graphs in Automotive and Manufacturing - Unlock New Value from Your DataNeo4j
This document discusses how graph databases like Neo4j can be used in automotive and manufacturing industries. It outlines use cases like supply chain management, warranty analytics, customer 360 views, and knowledge graphs. Examples are given of how graphs could help with supply chain optimization, predictive analytics, customer experience, and new product development. The presentation concludes with case studies of companies using Neo4j for applications such as integrated product data management, lessons learned databases, and product 360 views.
Big Data LDN 2018: SHAPING AN AI-DRIVEN FUTURE WITH AUGMENTED INTELLIGENCE FO...Matt Stubbs
Date: 14th November 2018
Location: AI Lab Theatre
Time: 15:50 - 16:20
Speaker: Patrice Neff
Organisation: Squirro
About: Machine learning and AI need huge amounts of data to train good algorithms. Even in today's Big Data landscape companies still struggle to get access to enough data to train systems. Squirro solves this problems in two ways: easy data access and Pragmatic AI.
Squirro's pragmatic AI approach allows companies to very quickly gain value from their data, without having to spend weeks on training machine learning models.
Big Data LDN 2018: THE NEXT WAVE: DATA, AI AND ANALYTICS IN 2019 AND BEYONDMatt Stubbs
Date: 14th November 2018
Location: Keynote Theatre
Time: 13:10 - 13:40
Speaker: Matt Aslett
Organisation: 451 Research
About: As 2018 draws to a close, Matt Aslett, Research VP, 451 Research looks ahead to 2019 and the key trends the research company’s Data, AI and Analytics team is anticipating for the year ahead, including the continued rise of DataOps; the increased importance of data science operationalisation; mainstream adoption of AI and machine learning; data platforms evolution; and the confluence of distributed database and blockchain technology in supporting the move towards planetary-scale data processing and analytics.
Dynamics Day 2017 Perth: Preparing the Organisation for DisruptionEmpired
James Page presented on digital disruption and transformation. He discussed emerging technologies like autonomous vehicles, machine learning, connected devices, and artificial intelligence. He explained how digital transformation can engage customers, empower employees, optimize operations, and transform products. The presentation outlined how organizations can harness data and analytics to gain insights, deliver personalized experiences, improve decision making, accelerate responsiveness, and develop new revenue opportunities through digital disruption.
CWIN17 san francisco-eunice cardenas-datastax - real-time cx for today's righ...Capgemini
The document discusses how the DataStax platform provides real-time customer experience capabilities for businesses. It highlights Capgemini's alliance with DataStax to help clients deliver insights at the point of action. DataStax's platform provides a 360-degree, real-time view of customer data to power applications that meet rising expectations of personalized, always-available customer experiences. Example use cases and customer stories from companies like Netflix, Capital One, and Macy's are provided that illustrate how DataStax helps enterprises gain insights from customer data and enhance engagement.
This document contains an agenda for a campus event on Microsoft Business Intelligence (BI). It includes an introduction to Microsoft BI, a demo, and a discussion on next steps. It provides background information on BI, including definitions and its benefits. It also lists some common adoption issues. The agenda then covers self-service BI tools like Excel and Power BI and how they can help users discover, analyze, visualize and explore data. Finally, it proposes using data from various sources like Project Online, Excel, and other apps to create reports and dashboards on topics like projects, resources, finances, and department performance.
This document presents a maturity model for big data asset management with 6 levels: business monitoring, business insights, business excellence, insights monetization, business metamorphose, and core business processes. It describes using data as an asset and applying analytics at different degrees to business models from backward to predictive to prescriptive analytics.
In this presentation Juan M. Huerta talks about big data adoption process at Citi, realising the technical value of big data and global solutions. Huerta goes on to talk about following a hybrid approach, and the future of analytics, expensive algorithms applied to large datasets. With Citi using these approaches in hopes of getting even wider global recognition.
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."
Using Business Intelligence to Bring Your Data to LifeInnoTech
Using business intelligence (BI) tools allows companies to analyze and visualize their data to identify opportunities and make better business decisions. BI provides interactive dashboards and visualizations that make it easy to see patterns and trends in the data. Its easy-to-use tools allow users to convert data into charts and tables with just a few clicks to process and analyze information faster. Companies implement BI software to improve how they connect with customers, find opportunities, and give their teams insights from the data.
Wanneer medewerkers zelf de mogelijkheden krijgen om analyses uit te voeren en daardoor direct meer invloed op de bedrijfsvoering uitoefenen, kunnen organisaties slagvaardiger opereren. Selfservice BI is daarom een toenemende behoefte in de Business Intelligence markt. De uitdagingen, risico’s en maatregelen die zich tijdens een Selfservice BI implementatie voordoen, worden in deze presentatie uitgebreid behandeld. Het beheerproces rondom Selfservice BI is essentieel voor succes en ook daar wordt nader op ingezoomd.
Big Data Expo 2015 - Infotopics Zien, Begrijpen, Doen!BigDataExpo
Het visueel maken van data is de enige manier om Big Data te begrijpen. Infotopics is dé specialist in datavisualisatie en continu op zoek naar de beste instrumenten om middels self service BI inzicht in data te geven. Zie hoe wij dit in de praktijk toepassen met Tableau & Alteryx.
This document discusses a presentation on developing powerful and quick sales analytics solutions with Power BI for Office 365. It introduces Netwoven as a consulting firm and the speaker, Murali Madhusudana. Key topics covered include self-service BI, common BI challenges, BI maturity levels, challenges faced by power users, the definition and benefits of self-service BI, and how Power BI for Office 365 addresses self-service BI needs.
This document discusses a company that provides data excellence solutions including data integration, processing, science, and artificial intelligence. They help clients in industries like media, consumer goods, utilities, and healthcare by building data-driven applications and recommendations. Their solutions are aimed at generating insights, breaking down silos, and providing real-time, personalized insights and recommendations across channels to drive business growth with low risk and high impact.
LoQutus helps organisations to innovate with analytics and to get insights with data visualisation. We also build large scale data layers to enable interaction with core data, and develop data-driven applications to deliver the insights our customers need. During this session we’ll share what we have learned along the way. We’ll show you our framework for self-service analytics & insights, and some successful case studies.
OpenSymmetry - Business Intelligence MaturityOpenSymmetry
OpenSymmetry Breakout Session during the Callidus Customer Connections Conference in Las Vegas - May 2013. Presenter: Trevor Dunham, Director of Business Intelligence with OpenSymmetry
This document discusses eight criteria for choosing a self-service analytics platform: 1) Usability - The interface should be intuitive for both power users and non-technical users. 2) Scalability - The platform should be able to support a growing user base without increasing costs. 3) Security - The platform must have strong data security to safely share information with external users. 4) Data services and integration - The platform should integrate data from various sources and enable access for users. 5) Functionality - The platform should have a broad range of capabilities in a single system to meet different user needs. Real-world examples are provided to illustrate how companies have benefited from self-service analytics.
IBM Virtual Finance Forum 2016: Top 10 reasons to attendIBM Analytics
Explore the top 10 reasons to attend IBM's Virtual Finance Forum 2016 for insights and best practices on performance management in the cognitive era. Attend your choice of three broadcasts of IBM's Virtual Finance Forum 2016: http://bit.ly/oct5am, http://bit.ly/Oct512Noon or http://bit.ly/oct5eve.
Big Data LDN 2018: CONNECTING SILOS IN REAL-TIME WITH DATA VIRTUALIZATIONMatt Stubbs
Date: 14th November 2018
Location: Keynote Theatre
Time: 13:50 - 14:20
Speaker: Becky Smith
Organisation: Denodo
About: How many users inside and outside of your organization access your organization’s data? Dozens? Hundreds is probably more like it, each with their own structure and content requirements as well as different access rights. As a result, many organizations have witnessed the formation of “data delivery mills,” in various shapes and sizes. How does one create order and reliability in this world of chaotic data streams? Quite easily, if it’s done with data virtualization.
According to Gartner, "through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration.” Data virtualization enables organizations to gain data insights from multiple, distributed data sources without the time-consuming processes of data extraction and loading. This allows for faster insights and fact-based decisions, which help business realize value sooner.
Join us to find out more about:
• What data virtualization actually means and how it differs from traditional data integration approaches.
• How you can connect and combine all your data in real-time, without compromising on scalability, security or governance.
• The benefits of data virtualization and its most important use cases.
Graphs in Automotive and Manufacturing - Unlock New Value from Your DataNeo4j
This document discusses how graph databases like Neo4j can be used in automotive and manufacturing industries. It outlines use cases like supply chain management, warranty analytics, customer 360 views, and knowledge graphs. Examples are given of how graphs could help with supply chain optimization, predictive analytics, customer experience, and new product development. The presentation concludes with case studies of companies using Neo4j for applications such as integrated product data management, lessons learned databases, and product 360 views.
Big Data LDN 2018: SHAPING AN AI-DRIVEN FUTURE WITH AUGMENTED INTELLIGENCE FO...Matt Stubbs
Date: 14th November 2018
Location: AI Lab Theatre
Time: 15:50 - 16:20
Speaker: Patrice Neff
Organisation: Squirro
About: Machine learning and AI need huge amounts of data to train good algorithms. Even in today's Big Data landscape companies still struggle to get access to enough data to train systems. Squirro solves this problems in two ways: easy data access and Pragmatic AI.
Squirro's pragmatic AI approach allows companies to very quickly gain value from their data, without having to spend weeks on training machine learning models.
Big Data LDN 2018: THE NEXT WAVE: DATA, AI AND ANALYTICS IN 2019 AND BEYONDMatt Stubbs
Date: 14th November 2018
Location: Keynote Theatre
Time: 13:10 - 13:40
Speaker: Matt Aslett
Organisation: 451 Research
About: As 2018 draws to a close, Matt Aslett, Research VP, 451 Research looks ahead to 2019 and the key trends the research company’s Data, AI and Analytics team is anticipating for the year ahead, including the continued rise of DataOps; the increased importance of data science operationalisation; mainstream adoption of AI and machine learning; data platforms evolution; and the confluence of distributed database and blockchain technology in supporting the move towards planetary-scale data processing and analytics.
Dynamics Day 2017 Perth: Preparing the Organisation for DisruptionEmpired
James Page presented on digital disruption and transformation. He discussed emerging technologies like autonomous vehicles, machine learning, connected devices, and artificial intelligence. He explained how digital transformation can engage customers, empower employees, optimize operations, and transform products. The presentation outlined how organizations can harness data and analytics to gain insights, deliver personalized experiences, improve decision making, accelerate responsiveness, and develop new revenue opportunities through digital disruption.
CWIN17 san francisco-eunice cardenas-datastax - real-time cx for today's righ...Capgemini
The document discusses how the DataStax platform provides real-time customer experience capabilities for businesses. It highlights Capgemini's alliance with DataStax to help clients deliver insights at the point of action. DataStax's platform provides a 360-degree, real-time view of customer data to power applications that meet rising expectations of personalized, always-available customer experiences. Example use cases and customer stories from companies like Netflix, Capital One, and Macy's are provided that illustrate how DataStax helps enterprises gain insights from customer data and enhance engagement.
This document contains an agenda for a campus event on Microsoft Business Intelligence (BI). It includes an introduction to Microsoft BI, a demo, and a discussion on next steps. It provides background information on BI, including definitions and its benefits. It also lists some common adoption issues. The agenda then covers self-service BI tools like Excel and Power BI and how they can help users discover, analyze, visualize and explore data. Finally, it proposes using data from various sources like Project Online, Excel, and other apps to create reports and dashboards on topics like projects, resources, finances, and department performance.
This document presents a maturity model for big data asset management with 6 levels: business monitoring, business insights, business excellence, insights monetization, business metamorphose, and core business processes. It describes using data as an asset and applying analytics at different degrees to business models from backward to predictive to prescriptive analytics.
In this presentation Juan M. Huerta talks about big data adoption process at Citi, realising the technical value of big data and global solutions. Huerta goes on to talk about following a hybrid approach, and the future of analytics, expensive algorithms applied to large datasets. With Citi using these approaches in hopes of getting even wider global recognition.
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."
Using Business Intelligence to Bring Your Data to LifeInnoTech
Using business intelligence (BI) tools allows companies to analyze and visualize their data to identify opportunities and make better business decisions. BI provides interactive dashboards and visualizations that make it easy to see patterns and trends in the data. Its easy-to-use tools allow users to convert data into charts and tables with just a few clicks to process and analyze information faster. Companies implement BI software to improve how they connect with customers, find opportunities, and give their teams insights from the data.
Wanneer medewerkers zelf de mogelijkheden krijgen om analyses uit te voeren en daardoor direct meer invloed op de bedrijfsvoering uitoefenen, kunnen organisaties slagvaardiger opereren. Selfservice BI is daarom een toenemende behoefte in de Business Intelligence markt. De uitdagingen, risico’s en maatregelen die zich tijdens een Selfservice BI implementatie voordoen, worden in deze presentatie uitgebreid behandeld. Het beheerproces rondom Selfservice BI is essentieel voor succes en ook daar wordt nader op ingezoomd.
Big Data Expo 2015 - Infotopics Zien, Begrijpen, Doen!BigDataExpo
Het visueel maken van data is de enige manier om Big Data te begrijpen. Infotopics is dé specialist in datavisualisatie en continu op zoek naar de beste instrumenten om middels self service BI inzicht in data te geven. Zie hoe wij dit in de praktijk toepassen met Tableau & Alteryx.
This document discusses a presentation on developing powerful and quick sales analytics solutions with Power BI for Office 365. It introduces Netwoven as a consulting firm and the speaker, Murali Madhusudana. Key topics covered include self-service BI, common BI challenges, BI maturity levels, challenges faced by power users, the definition and benefits of self-service BI, and how Power BI for Office 365 addresses self-service BI needs.
This document provides an agenda and overview for a presentation on building business service intelligence with Splunk IT Service Intelligence. The presentation introduces service design methodology, the value of mapping services, and how to derive "Service Intelligence". It discusses best practices for service modeling including defining services, key performance indicators, and entities. The presentation then provides an introduction to Splunk IT Service Intelligence and how it can be used to collect machine data from anywhere, search and analyze everything, and deliver real-time operational intelligence to IT and the business. Hands-on demonstrations and a Q&A session are also included on the agenda.
ReportPlus: Create Dashboards with your iPadSouthLabs
ReportPlus is an application for the iPad that allows you to create business intelligence dashboards connecting directly to enterprise data sources such as: SharePoint, SQL Server, Reporting Services, Analysis Services, Excel & OData.
Power BI for Office 365 provides many new features enabling everyone new scenarios of putting in place business intelligence with Excel and Office 365. Discover, access and manipulate data with just a few clicks, shape and transform data. Analyze and create stunning interactive visualizations that uncover hidden insights to share and collaborate from anywhere, and soon on any device.
Business Intelligence 3.0 aims to revolutionize BI by making it social, relevant, and self-service. Traditional BI tools are too complicated for most business users and require heavy IT support. BI 3.0 solutions allow users to collaborate socially within the BI system, receive automatically relevant insights without searching, and personalize their own self-service analytics without training. Panorama Necto is presented as one such BI 3.0 tool that connects data, insights, and people in a way that drives social intelligence for businesses.
2016 q4 McKinsey quarterlyy - does your data have a purposeAhmed Al Bilal
This document is an issue of the McKinsey Quarterly from 2016. It contains articles on data analytics and big data. The opening article provides an overview of the data revolution and argues that data analytics requires a reimagining of business models. It notes that data assets, analytics methodologies, and data-driven solutions require companies to contemplate their own data strategy and opportunities. The issue aims to help leaders focus on the essential purposes, uses, and questions surrounding analytics to guide their organizations toward a more digital, data-driven future.
BIG DATA is having an enormous impact on the profile of workforces around the world. If you've ever seen the technology and experienced the impact it has on the pace of innovation in a business then the predictations made by McKinsey Global Institute will come as no surprise ( and just in case you've been on holiday for around two years, McKinsey is suggesting that by 2018 the US will face a shortfall of close to 200,000 analysts and 1.5 million managers with the right skills. In this presentation I outline the impact of BIG DATA on workforce design. I hope you find it informative and fun to read. Ian.
How to Build Competitive Advantage with Customer Intelligence – From data to ...Subhakar Rao Surapaneni
There is no denial that the unprecedented growth of the volume, velocity and variety of data has necessitated high performance analytics that can tackle new business challenges. In the fast paced age of IoT, innovative solutions followed by new predictive and advanced analytics trends are being adopted by enterprises to get value from the data. The presentation attempts to highlight emerging business intelligence analytics trends of 2016 that can aid faster business insights and facilitate superior business decisions.
Everyone's talking about big data – getting our arms around it and putting it to work for us. This paper summarizes a panel discussion at the 2012 SAS Financial Services Executive Summit where industry leaders shared their ideas about big data and what their organizations are doing with it. Aditya Bhasin from Bank of America talked about how to extract more value from the data you already have, even if it's just a fraction of what's out there. Robert Kirkpatrick, who leads the UN Global Pulse initiative, talked about how data can help us better understand global economies and human welfare. Charles Thomas, a market research and analytics executive at USAA, described how his company is navigating the shift to more real-time and predictive analysis. Request the full whitepaper at: http://www.sas.com/reg/wp/corp/50060?&utm_source=NAFCUServices&utm_medium=landingpage&utm_campaign=SASwhitepaper82912. More info at: www.nafcu.org/sas
Business data has changed radically. Enterprises today use thousands of SaaS applications and business systems that create more data than ever imagined, resulting in a struggle for users to gain holistic and actionable insights. Organizations need a solution to simplify the end to end workflow-- from data prep and governance to visualization, delivery, and action. This webinar will reveal a proven solution with real world examples and how it creates future opportunities for your organization.
“People analytics” is a frequently used buzzword. But questions remain as to why this is becoming such a prominent challenge for HR. What are leading organizations doing to develop their understanding of how data analytics can drive better people decisions? In this session, learn what you can start doing tomorrow to accelerate and mobilize your people analytics efforts.
Learning Objectives
• Learn the research and trends in data & analytics.
• Learn what is driving the people analytics movement.
• Learn the barriers to entry for companies.
• Learn how to mobilize your efforts in building out your people & analytics capabilities.
Speaker: Diego Gomez, Vice President of Human Capital Management Transformation, Oracle
IBM Solutions Connect 2013 keynote presentation talking about emerging challenges in today's business world and various technologies that can help decision makers address these challenges and drive their business forward. Smart ideas. Smarter actions.
The 10 most promising it services companiesMerry D'souza
Plaxonic Technologies is a leading IT and BPO company established in 2013. It provides a wide range of services including IT staffing, customer care support, inbound/outbound calls, chat/email support, IT support, 360 degree branding, application development, website development, digital marketing, content marketing, and virtual assistants. The company aims to bring innovation in everything through dedication. Founder and CEO Shaan Rizvi drives growth and innovation at Plaxonic Technologies. The company is currently focused on developing an app to remove duplicate products from the Indian market and creating jobs in rural areas. Plaxonic Technologies' success is driven by strengthening core values, focusing on employee retention, and bringing positive change to society.
Digital transformation involves using digital technologies like analytics, cloud computing, and mobility to radically change how a company operates in three key areas: how it creates value, interacts with customers/partners, and competes. It extends beyond technology companies and requires leadership, focus on customer experience, and embracing digital capabilities. To successfully transform, companies should conduct a self-assessment, define a vision and roadmap, invest in tools, innovate processes, implement governance, and build capabilities.
This document discusses the opportunities for digital transformation in retail. It notes that only 20% of retailers are studying the mobile customer journey and over half of digital leaders cite evolving customer behaviors as a catalyst for change. Artificial intelligence can help improve the customer experience. By 2020, 100 million consumers will shop using augmented reality. Retail is undergoing disruption and customer expectations are shifting. Digital transformation can help retailers transform products, empower employees, optimize operations and engage customers. Examples are provided of companies like Netflix, Carlsberg, and ASOS that have seen benefits from digital transformation including significant revenue growth. The document emphasizes that culture is important for transformation success and discusses the need for a growth mindset, diversity, and digital literacy. Speakers
Does your content management system work with you or against you? Will the huge systems be replaced with smaller more flexible solutions? Or will they totally disappear? The debate is on!
Virtual Collaboration Insights From Ibm March24Jeanne Murray
Virtual teaming is the “new normal” in global workplaces. The business imperatives for this go beyond merely a need to tap into global labor – the imperatives are in the need for businesses to build, sell, and succeed in the global economy. This presentation relates the business imperatives to the actions teams are taking to work successfully in virtual teams, and was developed as a guest lecture for an audience of MBA students.
The document discusses the emerging role of the chief data officer (CDO) in organizations. It summarizes that as data and analytics have become more important, having a single leader dedicated to developing an enterprise-wide data strategy is necessary to fully leverage data. The CDO can envision how to use data across the organization, activate real change by using data to impact the business, and transform the culture to be more data-driven. The document outlines barriers to establishing the CDO role but emphasizes the value they provide in making organizations more competitive through their data.
Top 10 Disruptive Big Data Trends for 2022Kavika Roy
https://www.datatobiz.com/blog/big-data-trends/
The global big data market revenue is projected to hit the 103 billion US dollar mark by 2027. With more than 2.5 quintillion bytes of data being generated daily it is more than safe to assume that Big Data is gearing up for changing the way we think.
Here are Top 10 Big Data Trends for 2022: Revolutionizing the Core of Modern Business Landscape
The document discusses how Enterprise 2.0 uses social media tools within organizations to encourage knowledge sharing, collaboration, and innovation among employees. It provides examples of how companies like P&G, Salesforce, IBM, AT&T, and BT have improved processes like R&D, customer relations, employee engagement, and productivity by implementing social networking tools, wikis, blogs and other collaboration platforms within their intranets and business systems. The document also outlines benefits to the organization like improved knowledge management, communication, innovation and HR capabilities when social media is adopted internally.
This document discusses building a data fluent organization. It defines data fluency as the ability to use data to fluidly exchange and explore ideas within an organization. It presents a data fluency framework with four quadrants: data literate consumers, data producers, data fluent culture, and a supportive data ecosystem. The framework provides examples and recommendations for developing skills and processes to improve an organization's data fluency.
Similar to Business intelligence self service (20)
Open Source Contributions to Postgres: The Basics POSETTE 2024ElizabethGarrettChri
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
Build applications with generative AI on Google CloudMárton Kodok
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
Introduction to Jio Cinema**:
- Brief overview of Jio Cinema as a streaming platform.
- Its significance in the Indian market.
- Introduction to retention and engagement strategies in the streaming industry.
2. **Understanding Retention and Engagement**:
- Define retention and engagement in the context of streaming platforms.
- Importance of retaining users in a competitive market.
- Key metrics used to measure retention and engagement.
3. **Jio Cinema's Content Strategy**:
- Analysis of the content library offered by Jio Cinema.
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- Catering to diverse audience preferences (regional, genre-specific, etc.).
- User-generated content and interactive features.
4. **Personalization and Recommendation Algorithms**:
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- Dynamic content curation to keep users engaged.
5. **User Experience and Interface Design**:
- Evaluation of Jio Cinema's user interface (UI) and user experience (UX).
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- Integration with other Jio services.
6. **Community Building and Social Features**:
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- Interactive events and campaigns.
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8. **Customer Support and Feedback Mechanisms**:
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- Targeted marketing campaigns and promotions.
- Cross-promotion with other Jio services and partnerships.
- Integration with social media platforms.
10. **Data Analytics and Iterative Improvement**:
- Role of data analytics in understanding user behavior and preferences.
- A/B testing and experimentation to optimize engagement strategies.
- Iterative improvement based on data-driven insights.
Enhanced data collection methods can help uncover the true extent of child abuse and neglect. This includes Integrated Data Systems from various sources (e.g., schools, healthcare providers, social services) to identify patterns and potential cases of abuse and neglect.
We are pleased to share with you the latest VCOSA statistical report on the cotton and yarn industry for the month of May 2024.
Starting from January 2024, the full weekly and monthly reports will only be available for free to VCOSA members. To access the complete weekly report with figures, charts, and detailed analysis of the cotton fiber market in the past week, interested parties are kindly requested to contact VCOSA to subscribe to the newsletter.
[VCOSA] Monthly Report - Cotton & Yarn Statistics May 2024
Business intelligence self service
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Business Intelligence Self
Service : Benefits and
issues
Presented By:
Sushmita Kumari
Pratik Dhanwani
Bhuwan Ranjan
Konchada Dinesh
Ankush Sinha Ray
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Global information is growing at explosive rates
IDC: 1,600 exabytes (billion gigabytes) of digital data will be generated in 2015 alone!
By 2016, internet traffic will reach 822 exabytes
More people than ever are interacting with information
Silo’d information is no longer acceptable
Information is no longer located solely within an enterprise
Lack of information, processes, and tools are hurting our organizations
e new era of Big Data … and Consumer Expectations!
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Business Intelligence – why?
CLICK TO SEE THIS
MIX IN YOUR BROWSER
Challenge: how to best provide business decision
makers with the information and insight that they need
“… Enabling organizations to convert raw data into information
and subsequently into insights and actions”
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9. What’s the future of Self Service look like?
Data Mash-ups
Improving content and text analysis
Collaborative decision making
Data mining and predictive analytics
Improving enterprise wide metadata