Join NTT Data Enterprise Services, Inc.for a discussion on the Internet of Things (IoT), wearables, augmented reality, predictive analytics, and a strategy for using Big Data effectively in your enterprise. Presented at the Barcoding, Inc. Executive Forum 2014
It’s Not About Big Data – It’s About Big Insights - SAP Webinar - 20 Aug 201...Edgar Alejandro Villegas
Presentation slides of:
It’s Not About Big Data – It’s About Big Insights - SAP Webinar - 20 Aug 2013 - PDF
Scott Mackenzie - Sr. Director, Platform & Analytics CoE
Michael Golzc - CIO for SAP Americas
Ken Demma - VP, Insight Driven Marketing
20 Aug 2013 - Webcast - http://goo.gl/T74WAL
The last year has put a new lens on what speed to insights actually mean - day-old data became useless, and only in-the-moment-insights became relevant, pushing data and analytics teams to their breaking point. The results, everyone has fast forwarded in their transformation and modernization plans, and it's also made us look differently at dashboards and the type of information that we're getting the business. Join this live event and hear about the data teams ditching their dashboards to embrace modern cloud analytics.
Slides: Go Beyond Dashboards With the Next Generation of AnalyticsDATAVERSITY
It’s time to think differently about using data and analytics. While many organizations have progressed from relying on static reports generated by IT teams to using some version of a self-service model, most still struggle to reap the world-changing benefits long-promised by experts. Unfortunately, each evolution has delivered only incremental improvements over the last wave of analytics, leaving the biggest problems half-solved.
Join this webinar to learn more about the next generation of embedded analytics: Analytics Infusion. Learn more about:
• Developing a new approach to solving the analytic adoption challenge
• Differentiating your product and customer experience
• Achieving business outcomes through data
How to Create and Manage a Successful Analytics OrganizationDATAVERSITY
For the last few years, analytics, data science and data management have achieved tremendous exposure on all the media channels. Big Data has become a major topic of discussion, catalyzing attention among the C-Level executives and driving investments and projects inside the enterprise. However, it is really interesting that just a selected group of business has created successful data teams and has mastered the skills to manage it. What we have seen is that most companies still do not know how to create, implement and manage a data and analytics organization. Above all, if data has become an strategic asset and is being considered the new oil for the 21st century economy, what your strategy to handle it ? This webinar will help to bring some concepts and ideas to enlighten your path to create and manage an analytics organization, providing some real life examples on companies which did it.
The Data Driven Enterprise - Roadmap to Big Data & Analytics SuccessBigInsights
The Data Driven Enterprise - Roadmap to Big Data & Analytics Success
Presentation used at the series of Breakfast seminar around Australia hosted by Lenovo/Intel/SAP/EY
The Shifting Landscape of Data IntegrationDATAVERSITY
Enterprises and organizations from every industry and scale are working to leverage data to achieve their strategic objectives — whether they are to be more profitable, effective, risk-tolerant, prepared, sustainable, and/or adaptable in an ever-changing world. Data has exploded in volume during the last decade as humans and machines alike produce data at an exponential pace. Also, exciting technologies have emerged around that data to improve our abilities and capabilities around what we can do with data.
Behind this data revolution, there are forces at work, causing enterprises to shift the way they leverage data and accelerate the demand for leverageable data. Organizations (and the climates in which they operate) are becoming more and more complex. They are also becoming increasingly digital and, thus, dependent on how data informs, transforms, and automates their operations and decisions. With increased digitization comes an increased need for both scale and agility at scale.
In this session, we have undertaken an ambitious goal of evaluating the current vendor landscape and assessing which platforms have made, or are in the process of making, the leap to this new generation of Data Management and integration capabilities.
It’s Not About Big Data – It’s About Big Insights - SAP Webinar - 20 Aug 201...Edgar Alejandro Villegas
Presentation slides of:
It’s Not About Big Data – It’s About Big Insights - SAP Webinar - 20 Aug 2013 - PDF
Scott Mackenzie - Sr. Director, Platform & Analytics CoE
Michael Golzc - CIO for SAP Americas
Ken Demma - VP, Insight Driven Marketing
20 Aug 2013 - Webcast - http://goo.gl/T74WAL
The last year has put a new lens on what speed to insights actually mean - day-old data became useless, and only in-the-moment-insights became relevant, pushing data and analytics teams to their breaking point. The results, everyone has fast forwarded in their transformation and modernization plans, and it's also made us look differently at dashboards and the type of information that we're getting the business. Join this live event and hear about the data teams ditching their dashboards to embrace modern cloud analytics.
Slides: Go Beyond Dashboards With the Next Generation of AnalyticsDATAVERSITY
It’s time to think differently about using data and analytics. While many organizations have progressed from relying on static reports generated by IT teams to using some version of a self-service model, most still struggle to reap the world-changing benefits long-promised by experts. Unfortunately, each evolution has delivered only incremental improvements over the last wave of analytics, leaving the biggest problems half-solved.
Join this webinar to learn more about the next generation of embedded analytics: Analytics Infusion. Learn more about:
• Developing a new approach to solving the analytic adoption challenge
• Differentiating your product and customer experience
• Achieving business outcomes through data
How to Create and Manage a Successful Analytics OrganizationDATAVERSITY
For the last few years, analytics, data science and data management have achieved tremendous exposure on all the media channels. Big Data has become a major topic of discussion, catalyzing attention among the C-Level executives and driving investments and projects inside the enterprise. However, it is really interesting that just a selected group of business has created successful data teams and has mastered the skills to manage it. What we have seen is that most companies still do not know how to create, implement and manage a data and analytics organization. Above all, if data has become an strategic asset and is being considered the new oil for the 21st century economy, what your strategy to handle it ? This webinar will help to bring some concepts and ideas to enlighten your path to create and manage an analytics organization, providing some real life examples on companies which did it.
The Data Driven Enterprise - Roadmap to Big Data & Analytics SuccessBigInsights
The Data Driven Enterprise - Roadmap to Big Data & Analytics Success
Presentation used at the series of Breakfast seminar around Australia hosted by Lenovo/Intel/SAP/EY
The Shifting Landscape of Data IntegrationDATAVERSITY
Enterprises and organizations from every industry and scale are working to leverage data to achieve their strategic objectives — whether they are to be more profitable, effective, risk-tolerant, prepared, sustainable, and/or adaptable in an ever-changing world. Data has exploded in volume during the last decade as humans and machines alike produce data at an exponential pace. Also, exciting technologies have emerged around that data to improve our abilities and capabilities around what we can do with data.
Behind this data revolution, there are forces at work, causing enterprises to shift the way they leverage data and accelerate the demand for leverageable data. Organizations (and the climates in which they operate) are becoming more and more complex. They are also becoming increasingly digital and, thus, dependent on how data informs, transforms, and automates their operations and decisions. With increased digitization comes an increased need for both scale and agility at scale.
In this session, we have undertaken an ambitious goal of evaluating the current vendor landscape and assessing which platforms have made, or are in the process of making, the leap to this new generation of Data Management and integration capabilities.
When and How Data Lakes Fit into a Modern Data ArchitectureDATAVERSITY
Whether to take data ingestion cycles off the ETL tool and the data warehouse or to facilitate competitive Data Science and building algorithms in the organization, the data lake – a place for unmodeled and vast data – will be provisioned widely in 2020.
Though it doesn’t have to be complicated, the data lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the data swamp, but not the data lake! The tool ecosystem is building up around the data lake and soon many will have a robust lake and data warehouse. We will discuss policy to keep them straight, send data to its best platform, and keep users’ confidence up in their data platforms.
Data lakes will be built in cloud object storage. We’ll discuss the options there as well.
Get this data point for your data lake journey.
5 Steps to Transform into a Data-Driven Organization - Ganes Kesari - Gramen...Ganes Kesari
This session was presented on May 27th, 2021, in a Webinar organized by Gramener.
https://info.gramener.com/5-steps-to-transform-into-data-driven-organization
Session Details:
Today, organizations struggle to get value from data despite significant investments. Did you know that there's one factor that influences the outcomes of all your data initiatives?
This webinar will highlight how an organization's data maturity influences its performance. It will show how you can assess your data maturity and plan the five steps for data-driven business transformation.
Pain points we would be discussing:
Most organizations stagnate midway in their data journey.
Gartner says that over 87% of organizations in the industry are at lower levels of data maturity (levels 1 and 2 on a scale of 5).
Just doing more data science projects will not improve your capabilities or outcomes. The fact is that the top challenges reported by CDOs fall into five common areas.
This webinar will show what they are and how you can tackle them.
Who should attend
- Executives, Chief Data/Analytics Officers, Technology leaders, Business heads, Managers
What Will You Learn?
- What is data science maturity, and why does it matter?
- How do you assess data science maturity and limitations of the assessment?
- How can data science maturity help your organization level up (explained with an example)?
You Need a Data Catalog. Do You Know Why?Precisely
The data catalog has become a popular discussion topic within data management and data governance circles. A data catalog is a central repository that contains metadata for describing data sets, how they are defined, and where to find them. TDWI research indicates that implementing a data catalog is a top priority among organizations we survey. The data catalog can also play an important part in the governance process. It provides features that help ensure data quality, compliance, and that trusted data is used for analysis. Without an in-depth knowledge of data and associated metadata, organizations cannot truly safeguard and govern their data.
Join this on-demand webinar to learn more about the data catalog and its role in data governance efforts.
Topics include:
· Data management challenges and priorities
· The modern data catalog – what it is and why it is important
· The role of the modern data catalog in your data quality and governance programs
· The kinds of information that should be in your data catalog and why
TDWI Spotlight: Enabling Data Self-Service with Security, Governance, and Reg...Denodo
Watch full webinar here: https://bit.ly/3xozd5W
Companies today want to realize the value of data and share it across the enterprise. While unlocking the full potential of data for business users, these companies must also ensure that they maintain security requirements. Learn how you can successfully implement self-service initiatives with data governance to enable both business and IT to realize the full potential of any data in the enterprise.
Watch Now On-Demand!
Data strategy - How & When to Invest (SXSW V2V Core Conversation)Courtney Hemphill
Data strategy is a necessary component of every company but the approach and skills can vary widely as a product and its users grow. Data ensures that each product feature released can be measured as to its impact and effectiveness. Data also surfaces latent market needs that can be leveraged into further product value.
Carbon Five has been using data to solve tricky product problems with companies like Square, Altschool, StitchFix, Prosper, and Fandango for over 15 years. Come join the conversation if you are interested in what skills are necessary to drive data science at your company, how to hire data science talent, and what data strategy looks like for different companies.
- See more at: http://schedule.sxswv2v.com/events/event_V2VP46093#sthash.oPukb2oW.dpuf
Governing and Preparing Data for Analytics and BusinessMark Smith
As business becomes more self-sufficient in accessing and putting data to work for analytics, there are many steps that are circumvented that can jeopardize the quality of business decisions. While it might seem easy to do one-off data preparation cycles that create analytic silos, the importance of placing governance on the data and users is essential to ensure accuracy of information used by business. The solution for these challenges can be addressed by applying effective processes and systems that are shared across business and IT. In this presentation, you'll will learn the latest best practices and steps to increase data governance and preparation processes that will shorten the time to efficiently connect users and data at any time
The Path to Data and Analytics ModernizationAnalytics8
Learn about the business demands driving modernization, the benefits of doing so, and how to get started.
Can your data and analytics solutions handle today’s challenges?
To stay competitive in today’s market, companies must be able to use their data to make better decisions. However, we are living in a world flooded by data, new technologies, and demands from the business for better and more advanced analytics. Most companies do not have the modern technologies and processes in place to keep up with these growing demands. They need to modernize how they collect, analyze, use, and share their data.
In this webinar, we discuss how you can build modern data and analytics solutions that are future ready, scalable, real-time, high speed, and agile and that can enable better use of data throughout your company.
We cover:
-The business demands and industry shifts that are impacting the need to modernize
-The benefits of data and analytics modernization
-How to approach data and analytics modernization- steps you need to take and how to get it right
-The pillars of modern data management
-Tips for migrating from legacy analytics tools to modern, next-gen platforms
-Lessons learned from companies that have gone through the modernization process
Data Centric Development: Supercharge your web & mobile application developmentBright North
Many businesses are finding that their web and mobile applications aren’t providing the long-term solution they were hoping for. As consumers provide more and more useful data, these digital platforms don’t allow businesses to take advantage of the huge opportunities that data presents.
Our new whitepaper details the practical steps you can take to supercharge your web and mobile application development and stay ahead of the data revolution.
Revolution In Data Governance - Transforming the customer experiencePaul Dyksterhouse
The foundation of managing data security and big data is implementing data governance. Data Owners, Metadata tagging, Customer feedback and Continuous Improvement are critical facets to provide the transparency and consistency so that customer's can trust the data, and make informed decisions.
Slides: The Automated Business GlossaryDATAVERSITY
You can’t do business without being able to successfully extract insights from your organization’s data supply chain. You need a strong foundation for visibility and control of data. Flying by the seat of your pants, when it comes to analyzing your market, your performance, and your competitors’ performances, just doesn’t work.
In this webinar, we’ll examine the real-life daily struggles and frustrations plaguing the data supply chain and discuss how these struggles can be eliminated by automation of metadata operations such as data lineage, data discovery and business glossary.
When you attend this webinar, you will learn about:
• What data consumers are really spending their time on and why they are so frustrated
• The challenges of building a business glossary
• How to get started with an automated business glossary and why it’s critical for BI intelligence
When and How Data Lakes Fit into a Modern Data ArchitectureDATAVERSITY
Whether to take data ingestion cycles off the ETL tool and the data warehouse or to facilitate competitive Data Science and building algorithms in the organization, the data lake – a place for unmodeled and vast data – will be provisioned widely in 2020.
Though it doesn’t have to be complicated, the data lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the data swamp, but not the data lake! The tool ecosystem is building up around the data lake and soon many will have a robust lake and data warehouse. We will discuss policy to keep them straight, send data to its best platform, and keep users’ confidence up in their data platforms.
Data lakes will be built in cloud object storage. We’ll discuss the options there as well.
Get this data point for your data lake journey.
5 Steps to Transform into a Data-Driven Organization - Ganes Kesari - Gramen...Ganes Kesari
This session was presented on May 27th, 2021, in a Webinar organized by Gramener.
https://info.gramener.com/5-steps-to-transform-into-data-driven-organization
Session Details:
Today, organizations struggle to get value from data despite significant investments. Did you know that there's one factor that influences the outcomes of all your data initiatives?
This webinar will highlight how an organization's data maturity influences its performance. It will show how you can assess your data maturity and plan the five steps for data-driven business transformation.
Pain points we would be discussing:
Most organizations stagnate midway in their data journey.
Gartner says that over 87% of organizations in the industry are at lower levels of data maturity (levels 1 and 2 on a scale of 5).
Just doing more data science projects will not improve your capabilities or outcomes. The fact is that the top challenges reported by CDOs fall into five common areas.
This webinar will show what they are and how you can tackle them.
Who should attend
- Executives, Chief Data/Analytics Officers, Technology leaders, Business heads, Managers
What Will You Learn?
- What is data science maturity, and why does it matter?
- How do you assess data science maturity and limitations of the assessment?
- How can data science maturity help your organization level up (explained with an example)?
You Need a Data Catalog. Do You Know Why?Precisely
The data catalog has become a popular discussion topic within data management and data governance circles. A data catalog is a central repository that contains metadata for describing data sets, how they are defined, and where to find them. TDWI research indicates that implementing a data catalog is a top priority among organizations we survey. The data catalog can also play an important part in the governance process. It provides features that help ensure data quality, compliance, and that trusted data is used for analysis. Without an in-depth knowledge of data and associated metadata, organizations cannot truly safeguard and govern their data.
Join this on-demand webinar to learn more about the data catalog and its role in data governance efforts.
Topics include:
· Data management challenges and priorities
· The modern data catalog – what it is and why it is important
· The role of the modern data catalog in your data quality and governance programs
· The kinds of information that should be in your data catalog and why
TDWI Spotlight: Enabling Data Self-Service with Security, Governance, and Reg...Denodo
Watch full webinar here: https://bit.ly/3xozd5W
Companies today want to realize the value of data and share it across the enterprise. While unlocking the full potential of data for business users, these companies must also ensure that they maintain security requirements. Learn how you can successfully implement self-service initiatives with data governance to enable both business and IT to realize the full potential of any data in the enterprise.
Watch Now On-Demand!
Data strategy - How & When to Invest (SXSW V2V Core Conversation)Courtney Hemphill
Data strategy is a necessary component of every company but the approach and skills can vary widely as a product and its users grow. Data ensures that each product feature released can be measured as to its impact and effectiveness. Data also surfaces latent market needs that can be leveraged into further product value.
Carbon Five has been using data to solve tricky product problems with companies like Square, Altschool, StitchFix, Prosper, and Fandango for over 15 years. Come join the conversation if you are interested in what skills are necessary to drive data science at your company, how to hire data science talent, and what data strategy looks like for different companies.
- See more at: http://schedule.sxswv2v.com/events/event_V2VP46093#sthash.oPukb2oW.dpuf
Governing and Preparing Data for Analytics and BusinessMark Smith
As business becomes more self-sufficient in accessing and putting data to work for analytics, there are many steps that are circumvented that can jeopardize the quality of business decisions. While it might seem easy to do one-off data preparation cycles that create analytic silos, the importance of placing governance on the data and users is essential to ensure accuracy of information used by business. The solution for these challenges can be addressed by applying effective processes and systems that are shared across business and IT. In this presentation, you'll will learn the latest best practices and steps to increase data governance and preparation processes that will shorten the time to efficiently connect users and data at any time
The Path to Data and Analytics ModernizationAnalytics8
Learn about the business demands driving modernization, the benefits of doing so, and how to get started.
Can your data and analytics solutions handle today’s challenges?
To stay competitive in today’s market, companies must be able to use their data to make better decisions. However, we are living in a world flooded by data, new technologies, and demands from the business for better and more advanced analytics. Most companies do not have the modern technologies and processes in place to keep up with these growing demands. They need to modernize how they collect, analyze, use, and share their data.
In this webinar, we discuss how you can build modern data and analytics solutions that are future ready, scalable, real-time, high speed, and agile and that can enable better use of data throughout your company.
We cover:
-The business demands and industry shifts that are impacting the need to modernize
-The benefits of data and analytics modernization
-How to approach data and analytics modernization- steps you need to take and how to get it right
-The pillars of modern data management
-Tips for migrating from legacy analytics tools to modern, next-gen platforms
-Lessons learned from companies that have gone through the modernization process
Data Centric Development: Supercharge your web & mobile application developmentBright North
Many businesses are finding that their web and mobile applications aren’t providing the long-term solution they were hoping for. As consumers provide more and more useful data, these digital platforms don’t allow businesses to take advantage of the huge opportunities that data presents.
Our new whitepaper details the practical steps you can take to supercharge your web and mobile application development and stay ahead of the data revolution.
Revolution In Data Governance - Transforming the customer experiencePaul Dyksterhouse
The foundation of managing data security and big data is implementing data governance. Data Owners, Metadata tagging, Customer feedback and Continuous Improvement are critical facets to provide the transparency and consistency so that customer's can trust the data, and make informed decisions.
Slides: The Automated Business GlossaryDATAVERSITY
You can’t do business without being able to successfully extract insights from your organization’s data supply chain. You need a strong foundation for visibility and control of data. Flying by the seat of your pants, when it comes to analyzing your market, your performance, and your competitors’ performances, just doesn’t work.
In this webinar, we’ll examine the real-life daily struggles and frustrations plaguing the data supply chain and discuss how these struggles can be eliminated by automation of metadata operations such as data lineage, data discovery and business glossary.
When you attend this webinar, you will learn about:
• What data consumers are really spending their time on and why they are so frustrated
• The challenges of building a business glossary
• How to get started with an automated business glossary and why it’s critical for BI intelligence
Data Science Transforming Security OperationsPriyanka Aash
Data science brings a huge promise to IT security and accordingly to the sprouting of DS teams across all enterprises, and numerous vendors. Indeed DS has the potential to transform the way security is done—yet, the secret sauce is how to do it in a way that actually provides clear value, embedded into the security workflow, and leverages the human knowledge in combined with the data.
(Source: RSA USA 2016-San Francisco)
8-ая ежегодная международная научно-практическая конференция «Инвестиции. Инновации. Информационные Технологии: Роль IT в преодолении кризиса». РАНХиГС 21 февраля 2016
Как превратить цифровые угрозы в бизнес возможности. Что должны делать организации, чтобы не остаться на обочине своих индустрий.
A Proposed Municipal GIS Capability Maturity ModelGreg Babinski
A geographic information system (GIS) has become a common component of city and county governments. All large municipalities and many medium and small sized cities and counties have now established GIS capability.
Just as each municipality is different, municipal GIS operations vary greatly. Partly this variation results from the ongoing development of GIS capability within many city and city and county governments. But how do these agencies know where their GIS development is in relationship to potential capability for similar agencies?
Other agencies consider that their GIS is mature because their implementation project has been completed and they are doing ongoing GIS operations and maintenance. But how do these agencies know if they are lacking basic GIS capability.
Capability maturity models have been used to assess the ability of agencies to develop software successfully. Recently a GIS maturity model was developed to assess state government GIS capability.
This presentation will outline a proposed Municipal GIS Capability Maturity Model and discuss some preliminary results from applying the model to city and county GIS operations in the Pacific Northwest.
This presentation will be of value to managers to self-assess their GIS operation, determine areas for efficiency or effectiveness improvements, assess system risk factors, analyze capability gaps, and prioritize developments required for a mature GIS.
Presented at 2009 WAURISA Conference.
Mobile APM Comes of Age as Continuous Improvement of the End-User ExperienceRaúl Castañón Martínez
Monitoring the quality of the mobile end-user experience is becoming increasingly relevant, but represents a unique challenge for IT due to the wide range of variables across devices, networks and platforms that are involved. Vendors are introducing new approaches to address this challenge; their capacity to influence the end-user experience will determine who comes out on top.
Mobile-first is a simple idea with big implications: digital products should be designed for mobile first. Not the other way around.
These are the slides for my 12 minute presentation at IA day 2012. Just a quick introduction to the mobile-first concept.
Props to Luke Wroblewski and Brad Frost. I got most of the stuff in this presentation from their presentations and blogs.
Luke Wroblewski:
http://www.lukew.com/presos/preso.asp?26
Brad Frost:
http://bradfrostweb.com/blog/web/for-a-future-friendly-web/
In today’s interconnected world, few things terrify CEOs and CTOs more than electronic security (well, a breach of that security, anyway). Most of our records, personal information, corporate information, and sensitive data exist online or on Internet-connected hardware. Mobile, with all it’s advantages for enterprises, actually poses one of the largest emerging threats to those enterprises’ data security. As such, we wanted to share some statistics that demonstrate the severity of the problem and highlight the importance of mobile security for your business.
From "mobile last" to "mobile first” -- a Pragmatic Approach to Responsive De...Tatjana Salcedo
Responsive web design is taking higher ed web development by storm. This session will cover how the University of Vermont recently converted their existing fixed-width web design into a responsive one using a mobile-first strategy. We'll discuss both the advantages (and disadvantages) of the mobile first approach as well as tips and techniques used to create a nimble foundation for rapidly converting fixed width sites to responsive ones throughout the institution. In addition, we'll reveal a post launch assessment of the effectiveness and performance of the responsive design.
Building a Business Case for Innovation: Project Considerations for Cloud, Mo...Fred Isbell
Breakout Session from the 2015 TSIA Technology Service World event in Las Vegas attended by 1,500+ service & support professionals. Provided insight into:
1.) The next wave of innovative technology and business solutions
2.) Key insights from industry influencers and experts to assist in building a business case
3.) Case studies from SAP projects & customers showcasing the results, business impact, and best practices to managing next-generation projects and solutions
Big Data, Big Thinking: Untapped OpportunitiesSAP Technology
In this webinar factsheet, SAP’s Rohit Nagarajan and Suni Verma from Ernst & Young explore Big Data in India, adoption patterns across the globe, and how you can embark on your own Big Data journey.
Business Intelligence, Data Analytics, and AIJohnny Jepp
Data is the new currency. In this session, best practices on data collection, management dashboards, and used cases will be shared using Azure Data Services.
Video accessible at bit.ly/APACSummitOnDemand
Shwetank Sheel
Chief Executive Officer
Just Analytics
Poonam Sampat
Cloud Solution Architect - Data & AI
Microsoft Asia Pacific
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.
Learn the advantages and disadvantages of machine learning algorithms versus traditional statistical modelling approaches to solve complex business problems.
Big Data kennen sehr viele IT-Experten, wenigstens haben Sie eine Vorstellung davon. In der Praxis arbeiten damit in Deutschland derzeit nur wenige. Dabei bringt Big Data ein ganz neues Momentum in moderne Softwarelösungen und ist im Kontext der Mobil-, Cloud- und Social-Veränderungen nicht wegzudenken. Big Data macht Software intelligent und damit auf eine ganz neue Art für die Benutzer erlebbar. Mit Big Data entstehen neue Softwarearchitekturen, weil Informationen völlig anders verarbeitet werden - nämlich schneller, differenzierter und oft mit dem Ziel, Schlüsse zu ziehen und Vorhersagen zu treffen.
In diesem Vortrag wird erläutert, wie moderne Softwarearchitekturen gestaltet werden, sodass Sie Big Data Paradigmen erfolgreich umsetzen und welche Vorteile sich für die zunehmend mobilen Softwarelösungen ergeben. Wir werfen zudem einen Blick auf die Potentiale und Optionen in Branchen wie Banken, Versicherung oder Handel.
Using Data Mining Technique, Loginworks is offering the web data mining solutions. One of the leading Data mining companies delivering data mining services.
https://www.loginworks.com/data-mining/
Discover Rootstock ERP: Top Manufacturing Trends to Watch in 2018Rootstock Software
Manufacturers must embrace industry trends in order to stay ahead of the competition. With 2017 coming to a close, it is time to start focusing on the top manufacturing trends that will impact the industry and your organization in the upcoming year.
You will learn:
- What the top manufacturing trends are for 2018
- How these trends will impact manufacturing
- How Rootstock Cloud ERP fits into these trends
Strategizing Big Data in Telco
Big data feels to be a very hot topic nowadays. Some industries depend on it completely, some have opportunities to roll out their strategies and execute, some just considering when it is a right time to hop in.
To my mind, Big Data is not about technology. Big data is about people generating data and data used for the benefit of people.
Big data is a pool of activities intended at processing the data a company owns (internal and external) so that to open new revenue opportunities, minimize costs and enhance UX.
I had some ideas and thoughts on what telecommunication companies may start from in formulating the Big Data Strategy and so packed some of the most important pieces of thoughts into a small presentation.
What is the difference between Small Data and Big Data?
What kind of data is used currently and which is to be relied on a new paradigm?
What kind of products are expected from telcos?
My personal ranking of operators in terms of their Big Data execution
What are the stages telcos should pass through to become a Big Data operator?
Prerequisites for Big Data transformation
Please take a look at the presentation to find answers to these questions and feel free to share your opinion.
Thanks!
Keynote Session: A Crooked Yardstick—a Better Way to Measure Winning and Mana...Barcoding, Inc.
Gerry Sandusky, keynote speaker and the Voice of the Baltimore Ravens, opens Executive Forum 5 by applying his diverse experiences from his years as a sports broadcaster and a business owner to advise companies how to approach change, measure winning, and think about problems as opportunities for innovation.
Kerry Ogata, Windows IoT TSP, Microsoft, discusses the capabilities of Windows 10, Microsoft’s leading platform for line-of-business handheld devices. In this session, Fuller describes how upgrading handheld devices with Windows 10 brings together features such as a multi-touch user interface, built-in security, and enterprise management and business productivity tools within one system.
Winning Experiences: Delivering Better Solutions through Outcome-Driven DesignBarcoding, Inc.
Steven Herbst, director of experience design, Honeywell, takes a look into how to deliver better solutions through outcome-driven design. In this presentation he talks about the anatomy of an experience outcome and shows how to build an outcome-based framework.
Driver Productivity: Where the Rubber Meets the RoadBarcoding, Inc.
James Wee, vice president, Descartes Systems Group, shares insights on fleet management. Wee describes how organizations can increase driver productivity and fuel efficiency, and reduce out-of-route mileage by utilizing telematics to develop scoring systems.
Post Windows Mobile: New Application Development PlatformsBarcoding, Inc.
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Jackie Luo, CEO, E-ISG Asset Intelligence, explains how enterprise asset management (EAM) can be a challenge when organizations have disparate systems, varying levels of staff participation and multiple processes. During this discussion, Luo details why analyzing EAM’s key factors—people, process and technology – can help organizations overcome issues when deploying such business systems.
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Kent Woodruff, CSO, Cradlepoint, reveals where the most common security threats occur and discusses tools and techniques organizations can employ to protect their data and devices from hackers.
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Chase Sowden, Barcoding’s supply chain architect, leads a workshop that focuses on eliminating waste from business operations. Sowden explains why determining customers’ requirements, obtaining organization-wide buy-in, examining each process, identifying a problem, and looking for a solution will help companies improve their daily processes.
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Jeffery Gillis, Barcoding’s CFO, lays out the step-by-step process companies should employ to gain organizational buy-in when implementing new technology. During this presentation, Gillis explains the importance of ensuring involvement at all levels within a company by soliciting feedback, encouraging collaboration, and recognizing achievements during an implementation.
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Join McLeod Williamson of Zebra Technologies for a presentation on how to evaluate the use of RFID technology in your business. This presentation was delivered at the Barcoding, Inc. Executive Forum 2014.
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Mobile, Wearables, Big Data and A Strategy to Move Forward (with NTT Data Enterprise Services, Inc.) #BarcodingEF4
1. To know or not to know, that - is no
longer an option!
2. Agenda
• Innovation
• Technology Solutions
– How Mobile Changed Everything!
– Wearables and Augmented Reality
– Big Data and Predictive Analytics
• Big Data Maturity Model and The Journey
• Actionable Strategy
3. Agenda
• Innovation
• Technology Solutions
– How Mobile Changed Everything!
– Wearables and Augmented Reality
– Big Data and Predictive Analytics
• Big Data Maturity Model and The Journey
• Actionable Strategy
7. Agenda
• Innovation
• Technology Solutions
– How Mobile Changed Everything!
– Wearables – Augmented Reality
– Big Data and Predictive Analytics
• Big Data Maturity Model and The Journey
• Actionable Strategy
8. How Mobile Changed….
Everything
• Asset intensive industries were out in
front of the mobile curve
• The process was cumbersome as any
analysis or additional information
required connection to the back
office
• In certain industries, this extended
cycle produced longer downtimes
and lowered the return on
investment (ROI) on those very
expensive assets
Source: Fieldconnect
9. How Mobile Changed….
Everything
• Smart devices and Mobile technology
provides right real time information to the
field service technician
• Technician can visualize the work
instructions in 3D and can perform the job
• If the job requires new part technician can
research the options and initiate purchase
request
• Mobile access to analytical data provides
technicians knowledge of what is going on
at the shop-floor level so they can assess it
against historical or benchmark data and
optimize asset performance
10. Wearables – Augmented
Reality
• “The market for company-provided wearables
will be larger than the consumer market within
the next five years, as wearables represent the
next phase of the mobile revolution.” –
Forrester
• Within Wearables smart glasses, has huge
potential for any workforce that could
benefit from access to hands free
computing.
• The next wave is having the right analytics
presented to the right user instantly, rather
than requiring a query. This is the thinking
behind the concept of “augmented reality.”
11. Wearables – Augmented
Reality
• A service technician can scan an item and
instantly know all of its technical data,
including the equipment number, the status
of the asset, and more. The technician can
be simply guided there by a system that
uses both facility and GPS data
• The key to the effectiveness of augmented
reality is the presentation of data. With so
much data available, important analytics
and its presentation is critical
• Handsfree actionable insight will help make
better business decisions and improve
worker productivity
12. Big Data – Predictive Analytics
• The explosive growth of social media,
mobile devices, and machine sensors is
generating a wealth of data that either
didn't exist or wasn’t accessible a few years
ago
• Until now analytics was used to simply
access huge sets of data that might have
been aggregated for reporting purposes
• New Analytics applications based on in-memory
computing, advanced models and
predictive algorithm can facilitate instant
access to actionable knowledge in seconds
13. Big Data – Predictive Analytics
• Asset-intensive industries can employ
predictive maintenance strategies that
increase uptime and speed ROI on assets
and equipment
• Sensors track a machine’s performance,
provide an alert when the machine’s
performance dips below a threshold
• But predictive analytics can forecast the
machine’s condition, which reduces
downtime and improves safety
• Analysis on the machine’s uptime and
performance quality can then be integrated
into the product design to improve the
next generation of machines
14. Agenda
• Innovation
• Technology Solutions
– How Mobile Changed Everything!
– Wearables and Augmented Reality
– Big Data and Predictive Analytics
• Big Data Maturity Model and The Journey
• Actionable Strategy
15. Big Data – Maturity Model
Source: SAP Big Data Maturity Model
16. Big Data – Journey
Niche Intentional Strategic
Business Impact
Lighthouse
Champion
Change Agent
Big Data Maven
Strategy emerging from experience
- Silo’d stages: No Big Data
business programs, seen only
as technology programs
- No specific skills, executive
audience,
- Big Data projects across
business
- Understanding and
managing Big Data insights
- Emerging coherence in Big
Data architecture
Competency Center. Big
Data Governance.
- Integrated stages: Data
drives continuous
Business innovation
- Analytic insight optimizes
processes and is often
automated
- Rapid capability enabled
by centralized platform,
uniform standards and
procedures
17. Agenda
• Innovation
• Technology Solutions
– How Mobile Changed Everything!
– Wearables and Augmented Reality
– Big Data and Predictive Analytics
• Big Data Maturity Model and The Journey
• Actionable Strategy
18. Key Considerations
• Involve Business upfront
– What tangible benefits can big data initiatives provide my organization?
– What is the ROI for a big data initiative?
• Fire Bullets not Cannons.
– Pick something that's manageable. Start on a small scale to prove your
hypothesis.
• Useful Data can come from anywhere (and Everywhere)
– What data should you consider?
– How is data captured?
• You will need new expertise for Big Data.
– Big Data relies on data modeling and data science
19. Big Data Strategy
Purpose Opportunity Assessment Strategy Definition
q Understand current state
Ø Where is Big Data
Analytics being used
today?
Ø What technology,
application and providers
are being used?
Ø How is Big Data evaluated
for productivity and cost
effectiveness?
q Rethink and Re-engineer Business
Model
Ø What jobs can be done more
efficiently with Big Data
Analytics?
Ø What standard applications are
available from vendors?
Ø How are competitors using Big
Data Analytics?
Ø What are quick wins for the
new applications?
Ø How will the data driven
organization look and work?
q Standards and Technology
Provisioning
q Security Practices
q Data Management System