Big Data for small business transform your business into more efficient and smarter operation. Stay ahead of the game and take advantage of Big data analytics for small business to now how can big data help small businesses.
Data-Centric Analytics and Understanding the Full Data Supply ChainDATAVERSITY
While model development is an important part of analytics, this activity can be compromised by a lack of understanding of the data used in these models and poor Data Quality. For insights to be relied upon and truly actionable, data-related issues must be addressed.
The data supply chain (the set of architectural components that moves data around the enterprise from points where it is created or acquired to points where it is used) must be managed to supply the needs of analytics and other constituencies.
This webinar describes how the data supply chain should be designed and operated to provide analytics with the data it needs, and how Data Scientists should interact with the data supply chain to obtain the data they need. It also covers:
Data-centric considerations that must be taken into account in the development of analytic models
Features of a modern data supply chain
Major components in the data supply chain, with a focus on Data Lakes
Major roles and responsibilities in the data supply chain
How analytics must interact with the data supply chain
Data is becoming an engine for many businesses in the information age, and every company needs to consider look at how that feels in their business model.
This an introductory guest lecture for students at Stockholm School of Entrepreneurship.
Developing a Data Strategy -- A Guide For Business Leadersibi
Data is one of our most valuable assets -- yet we rarely understand how to incorporate it into our business plans. This presentation provides an introduction to data strategy for business leaders and points to more resources.
DI&A Webinar: Top 5 Priorities for an Analytics LeaderDATAVERSITY
This document summarizes a discussion on the top priorities of an analytics leader. It discusses evangelizing the importance of data-driven decision making, aligning analytics with business value, developing analytics competency within the organization, ensuring business insights are delivered and communicated, and identifying opportunities for data monetization. A guest speaker emphasizes starting small by building something of business value, focusing on iterative development, and partnering data, technology, and business teams to drive change.
Understanding the Data & Analytics Specific Purchase ProcessIDG
- The purchase process for data and analytics tools involves determining business needs, evaluating products/services, recommending vendors, approving purchases, and post-sales engagement. Key decision-makers include the CIO, line of business management, and chief data officer.
- On average, the buying cycle for data and analytics tools is 4.9 months. Nearly half of purchases in the past 24 months were for additions to existing tools, while 32% were for upgrades and 22% for replacing technologies.
- Common sources of information used in making purchasing decisions include white papers, technology content sites, analyst firms, product testing/reviews, product demos, and analyst research. However, only 35% of downloaded content was found valuable
This webinar discussed the purpose of data analytics and how it can be a light in the darkness for your organization to make better decisions for the future. The webinar covered the purpose of data analysis and its definition, the fundamental steps to take to perform data analysis to problem solve, and closed with next steps that attendees can take to further develop data analysis and business intelligence within their organizations.
During this webinar, attendees learned about the following:
- How data analytics functions to help your organization improve.
- The process for using data analytics to solve problems.
- Next steps to take to build data analysis within your organization.
Big Data for small business transform your business into more efficient and smarter operation. Stay ahead of the game and take advantage of Big data analytics for small business to now how can big data help small businesses.
Data-Centric Analytics and Understanding the Full Data Supply ChainDATAVERSITY
While model development is an important part of analytics, this activity can be compromised by a lack of understanding of the data used in these models and poor Data Quality. For insights to be relied upon and truly actionable, data-related issues must be addressed.
The data supply chain (the set of architectural components that moves data around the enterprise from points where it is created or acquired to points where it is used) must be managed to supply the needs of analytics and other constituencies.
This webinar describes how the data supply chain should be designed and operated to provide analytics with the data it needs, and how Data Scientists should interact with the data supply chain to obtain the data they need. It also covers:
Data-centric considerations that must be taken into account in the development of analytic models
Features of a modern data supply chain
Major components in the data supply chain, with a focus on Data Lakes
Major roles and responsibilities in the data supply chain
How analytics must interact with the data supply chain
Data is becoming an engine for many businesses in the information age, and every company needs to consider look at how that feels in their business model.
This an introductory guest lecture for students at Stockholm School of Entrepreneurship.
Developing a Data Strategy -- A Guide For Business Leadersibi
Data is one of our most valuable assets -- yet we rarely understand how to incorporate it into our business plans. This presentation provides an introduction to data strategy for business leaders and points to more resources.
DI&A Webinar: Top 5 Priorities for an Analytics LeaderDATAVERSITY
This document summarizes a discussion on the top priorities of an analytics leader. It discusses evangelizing the importance of data-driven decision making, aligning analytics with business value, developing analytics competency within the organization, ensuring business insights are delivered and communicated, and identifying opportunities for data monetization. A guest speaker emphasizes starting small by building something of business value, focusing on iterative development, and partnering data, technology, and business teams to drive change.
Understanding the Data & Analytics Specific Purchase ProcessIDG
- The purchase process for data and analytics tools involves determining business needs, evaluating products/services, recommending vendors, approving purchases, and post-sales engagement. Key decision-makers include the CIO, line of business management, and chief data officer.
- On average, the buying cycle for data and analytics tools is 4.9 months. Nearly half of purchases in the past 24 months were for additions to existing tools, while 32% were for upgrades and 22% for replacing technologies.
- Common sources of information used in making purchasing decisions include white papers, technology content sites, analyst firms, product testing/reviews, product demos, and analyst research. However, only 35% of downloaded content was found valuable
This webinar discussed the purpose of data analytics and how it can be a light in the darkness for your organization to make better decisions for the future. The webinar covered the purpose of data analysis and its definition, the fundamental steps to take to perform data analysis to problem solve, and closed with next steps that attendees can take to further develop data analysis and business intelligence within their organizations.
During this webinar, attendees learned about the following:
- How data analytics functions to help your organization improve.
- The process for using data analytics to solve problems.
- Next steps to take to build data analysis within your organization.
Driving Change in Relationship-Driven Businesses | How Citi Uses Data Science...Molly Alexander
The investment management industry is undergoing significant shifts as passive managers have grown substantially and are now making independent decisions, putting pressure on active managers to deliver performance. Data science can help address these changes by using descriptive analytics and visualizations to better inform clients, and predictive analytics to develop new tools that marginally improve complicated tasks. The document argues that banks should leverage big data and technology to enhance resource efficiency, create differentiated content, and empower bankers to focus on generating insights and actionable ideas for clients.
The Data Driven Enterprise - Roadmap to Big Data & Analytics SuccessBigInsights
The document discusses how data-driven companies are performing better financially and outlines the benefits of big data and analytics. It provides examples of companies using big data and analytics to improve customer experience through personalization, predict maintenance needs, and identify at-risk veterans to prevent suicide. The challenges of big data are also reviewed. Finally, it proposes a seven-step methodology for leveraging big data and analytics to address critical business challenges.
Financial analytics can help companies answer important strategic questions by providing forward-looking insights from large amounts of internal and external data. It moves beyond traditional financial reporting to help shape business strategy and improve real-time decision making. By analyzing risks, processes, investments, customer profitability, and other factors, financial analytics helps optimize profits and predict future impacts on key business drivers and stock price. It arms finance leaders with visual tools to understand complex information and partner more strategically with other areas of the business.
Tableau Conference 2014: How One Agency Evolved from Vendor to Strategic PartnerSIGMA Marketing Insights
- SIGMA Marketing Insights evolved from being a vendor that provided exhaustive data discovery and static reporting to clients, to becoming a strategic partner that uses Tableau to provide faster, more accessible, and engaging insights. Tableau helped transform SIGMA's culture and capabilities by enabling interactive dashboards, visualizations, and self-service access to data. This strategic shift strengthened SIGMA's service of illuminating clients' marketing strategies and driving customer growth through data-powered execution.
Business intelligence (BI) involves transforming raw business data into useful information through technologies and processes. BI tools make large amounts of company data accessible and provide context to key decision makers. This allows executives to make well-informed decisions, cut costs, reveal new business opportunities, turn ERP data into reports, and help a business quickly react to changes in demand. A good BI system not only reports numbers but explains the factors that influence trends. BI can also quantify the value of relationships with suppliers and customers.
Data analytics helps startups in three key ways:
1) It sets key performance indicators to establish goals and measure progress.
2) It elevates decision making by identifying trends and patterns to make smart, informed decisions.
3) It enables targeted content by understanding customer requirements to customize marketing.
How data analytics will drive the future of bankingSamuel Olaegbe
Emeka Okoye gives a presentation on how data analytics is driving the future of banking. He discusses how data analytics can help banks gain insights into customer behavior and transactions to improve customer experience, enable targeted cross-selling of products, and reduce customer churn. Okoye also outlines strategies for banks to integrate data across silos and leverage analytics to gain competitive advantages over traditional banking and threats from new fintech and big tech entrants.
The Chief Data Officer's Agenda: Leading the Enterprise Data Strategy and Org...DATAVERSITY
In this webinar we will blend two hot topics into one conversation:
Data Strategy
The Role of The Chief Data Officer
Our guest Jim Tyo is ideally placed to provide perspective in both areas, because as Chief Data Officer he heads up the Enterprise Data Office (EDO) of BB&T, where his main focus is to leverage data to drive business insights into revenue opportunities, ensure regulatory compliance and identify/manage risk. John Ladley will discuss with Jim how he manages the EDO to accomplish these objectives, and will delve into the following topics along the way:
What was the background to BB&T’s decision to appoint a Chief Data Officer, and what qualifications did Jim bring to the job?
What’s the organizational and reporting structure around the role? What authority does the CDO have to get things done?
What are the five functional tenets of CDO responsibility at BB&T?
How does the CDO provide leadership across various areas including Data Governance, Quality, Analytics and Architecture.
What style of leadership has proven most effective?
How does the CDO differ from the role of the CIO?
Have there been notable successes of the CDO and/or EDO?
Have there been any mistakes along the way…lessons learned that might be handled differently next time?
What issues are on the horizon for the next year? What’s next up for Jim as the CDO?
Big Data and Marketing: Data Activation and ManagementConor Duke
Data Management and Activation
Crevan O’Malley – Evangelist, Oracle Marketing Cloud
Modern Marketers rely on data-driven marketing solutions to deliver more personalised customer experiences across every channel—helping attract and retain the ideal customers who become brand advocates. Discover how to aggregate, enrich, and analyze all your customer data on a single data management platform.
Why Marketers need to know about Data
Tara Grehan - Managing Director at Datalytics
Why Marketers need to know about Data
Tara Grehan - Managing Director at Datalytics
Despite starting out as a qualitative researcher, roles and projects frequently brought me back to data. And so I decided to tackle it and have developed some interesting insights into data management along the way.
Having worked in Marketing both agency and client side for fifteen years now in a variety of roles from Market Research and Customer Insights to Change Management, being comfortable with data has made all the difference and this evening I’ll tell you why.
Using Big Data to Grow on a Budget
Michael Waldron - Marketing and Sales Manager at AYLIEN
AYLIEN is an Artificial Intelligence content analysis startup and Mike will be speaking on their growth journey over the past 6 months. With a focus on how they have delivered growth by optimising their budget, focusing on Data Points that matter and what to points to obsess on through the marketing funnel.
The Chief Data Officer's Agenda: The Need for Information Governance ControlsDATAVERSITY
Information professionals are working in a proverbial fishbowl, always under watchful scrutiny. Increases in regulations, data standards, and competitive environments, coupled with an explosion of information and data assets across the organization, have led to significant challenges in the world of information. Financial regulations such as Basel III are redefining the control landscape. The Affordable Care Act, and extensions within HIPPA, are redefining Healthcare. Data Governance is maturing into Information Governance based on further expansions into business operations, legal, records management, information security and an awareness of the need to focus on derived information over pure data. Against this backdrop, CXO executives are demanding more and more controls prior to automating financial or industry reporting to provide assurance that information is accurate. This webinar explores the nature of Information Governance controls and how the controls can lead to operational efficiencies and reduction of multiple enterprise risk factors.
This webinar will provide an overview of:
The emergence of Information Governance
The nature of typical information landscape across an organization
The definition and need for Information Governance Controls
How Information Governance Controls drive operational efficiency and risk reduction
Critical success factors to integrated controls into overall Information Governance frameworks
The Chief Data Officer - quotes from data & analytics thought leadersMario Faria
Data & Analytics have become so important on how business are differentiating themselves in the marketplace. With the help from the most well recognized data leaders of our time, I have put together their thoughts in this material. By sharing our thinking, we want companies to understand what it takes to become a data-driven organization.
Using Models For Analytically-Driven Cultural TransformationDan Wellisch
Jason Cooper delivered a powerful presentation at our meetup: Chicago Technology For Value-Based Healthcare found here: https://www.meetup.com/Chicago-Technology-For-Value-Based-Healthcare-Meetup/ on March 20. 2018
This document discusses how Oracle Analytics can help companies gain competitive advantages through data-driven insights. It promotes Oracle Analytics as a solution that allows users to access and analyze data from multiple sources, gain predictive insights through machine learning and artificial intelligence, and empower business users to perform self-service analytics. Case studies are presented showing how Oracle customers in media/entertainment and consumer services have used Oracle Analytics to accelerate financial reporting, optimize operations through sales predictions, and free up time for more analysis.
How to Leverage the Power of Data Analytics in Sales?Shaily Shah
Data is the DNA behind the robust analytics and insights supporting modern organizations to recognize new products, determine how to serve customers better, and enhance operational efficiencies.
Chris Gabriel, VP of Solutions Management at Logicalis Group, explores the world of ‘Big Data’, to look at the impact of ‘internet time’ on decision-making and the increasingly central role of business analytics in driving long term competitiveness.
Large-scale data gathering and analytics are becoming important for financial institutions to gain competitive advantages. BANKING INSIGHTS leverages data structures to provide support that gives financial organizations an edge. Their powerful business intelligence system provides new insights within financial institutions using an integrated modular approach focused on tangible deliverables, a proven information model, and driving business insights to deliver sustainable value.
Collaborative Compliance using Trust ExchangeTrust Exchange
Collaborative Compliance for Banks and Credit Unions. The Trust Exchange is a community of businesses who securely disclose and monitor key information to increase their trust in each other.
The document discusses how banks can leverage big data and analytics to gain a competitive advantage. It notes that banks have large volumes of untapped customer data that, if analyzed ethically and legally, can be used to increase trust, retain customers, gain more business, and build loyalty. The chief data officer of Nedbank says banks need to create foundations to securely and effectively leverage customer data to empower teams. This includes strategies for data governance, technology, and developing a data-driven culture. The chief technology officer of Absa believes big data can be used to deeply personalize services for each customer based on their individual needs using artificial intelligence.
CREATING CUSTOMER-CENTRIC PRODUCTS USING BIG DATA - KRITI SHARMABig Data Week
Kriti is the Global Head of Product, Real-time Big Data Analytics at Barclays where she drives Open Source and also focuses on emerging markets such as Africa. She recently led Product Management for the award winning Mobile Payments app Barclays Pingit. Kriti is a Google Grace Hopper Scholar, Govt. of India’s Young Leader in Science, Anita Borg Institute’s Pass-it-on Award winner, Rajiv Gandhi Scholar, has served on a Research and Leadership Programme initiated by the Head of the Scientific Advisory Council to the Prime Minister of India and currently sits on the Google Anita Borg Panel to promote Computer Science to women.
Kriti also focuses on driving Open Data Collaboration across retail, healthcare and financial services.
Vantiv has undergone a business transformation to become more agile and predictable in its delivery of payment processing solutions. Over the past year, Vantiv has made progress in forming dedicated agile teams, establishing key performance indicators, and delivering value in iterative sprints. However, challenges remain around test automation, engaging customers earlier, and achieving full organizational agility. Moving forward, Vantiv aims to further align its work to value streams, instill a culture of continuous improvement, and make agility part of its core operating model.
Vantiv offers payment processing solutions for ecommerce businesses, including core payment processing along with value-added services. Their solutions help businesses drive revenue, manage risks, and gain insights from analytics and reporting. Vantiv provides fraud prevention tools, account updating to maximize authorization approvals, and ensures reliable payment acceptance across devices and currencies.
11.15.12 CBIG Event - Kalvin & Vantiv PresentationSubrata Debnath
Vantiv is a leading integrated payment processor in the US, ranking #3 in merchant acquiring transactions and #2 in transaction growth. It processes over 12 billion transactions annually through its single, integrated technology platform for merchant and financial institution services. The presentation discusses Vantiv's efforts to institutionalize analytics into decision making through 5 initiatives: 1) Defining and scoping analytics, 2) Prioritizing location within the organization, 3) Managing all-or-nothing thinking, 4) Balancing accuracy and understandability, and 5) Pushing intelligence to the front lines where business problems occur. Real-time analytics and reducing latency from data to insights is a focus.
Driving Change in Relationship-Driven Businesses | How Citi Uses Data Science...Molly Alexander
The investment management industry is undergoing significant shifts as passive managers have grown substantially and are now making independent decisions, putting pressure on active managers to deliver performance. Data science can help address these changes by using descriptive analytics and visualizations to better inform clients, and predictive analytics to develop new tools that marginally improve complicated tasks. The document argues that banks should leverage big data and technology to enhance resource efficiency, create differentiated content, and empower bankers to focus on generating insights and actionable ideas for clients.
The Data Driven Enterprise - Roadmap to Big Data & Analytics SuccessBigInsights
The document discusses how data-driven companies are performing better financially and outlines the benefits of big data and analytics. It provides examples of companies using big data and analytics to improve customer experience through personalization, predict maintenance needs, and identify at-risk veterans to prevent suicide. The challenges of big data are also reviewed. Finally, it proposes a seven-step methodology for leveraging big data and analytics to address critical business challenges.
Financial analytics can help companies answer important strategic questions by providing forward-looking insights from large amounts of internal and external data. It moves beyond traditional financial reporting to help shape business strategy and improve real-time decision making. By analyzing risks, processes, investments, customer profitability, and other factors, financial analytics helps optimize profits and predict future impacts on key business drivers and stock price. It arms finance leaders with visual tools to understand complex information and partner more strategically with other areas of the business.
Tableau Conference 2014: How One Agency Evolved from Vendor to Strategic PartnerSIGMA Marketing Insights
- SIGMA Marketing Insights evolved from being a vendor that provided exhaustive data discovery and static reporting to clients, to becoming a strategic partner that uses Tableau to provide faster, more accessible, and engaging insights. Tableau helped transform SIGMA's culture and capabilities by enabling interactive dashboards, visualizations, and self-service access to data. This strategic shift strengthened SIGMA's service of illuminating clients' marketing strategies and driving customer growth through data-powered execution.
Business intelligence (BI) involves transforming raw business data into useful information through technologies and processes. BI tools make large amounts of company data accessible and provide context to key decision makers. This allows executives to make well-informed decisions, cut costs, reveal new business opportunities, turn ERP data into reports, and help a business quickly react to changes in demand. A good BI system not only reports numbers but explains the factors that influence trends. BI can also quantify the value of relationships with suppliers and customers.
Data analytics helps startups in three key ways:
1) It sets key performance indicators to establish goals and measure progress.
2) It elevates decision making by identifying trends and patterns to make smart, informed decisions.
3) It enables targeted content by understanding customer requirements to customize marketing.
How data analytics will drive the future of bankingSamuel Olaegbe
Emeka Okoye gives a presentation on how data analytics is driving the future of banking. He discusses how data analytics can help banks gain insights into customer behavior and transactions to improve customer experience, enable targeted cross-selling of products, and reduce customer churn. Okoye also outlines strategies for banks to integrate data across silos and leverage analytics to gain competitive advantages over traditional banking and threats from new fintech and big tech entrants.
The Chief Data Officer's Agenda: Leading the Enterprise Data Strategy and Org...DATAVERSITY
In this webinar we will blend two hot topics into one conversation:
Data Strategy
The Role of The Chief Data Officer
Our guest Jim Tyo is ideally placed to provide perspective in both areas, because as Chief Data Officer he heads up the Enterprise Data Office (EDO) of BB&T, where his main focus is to leverage data to drive business insights into revenue opportunities, ensure regulatory compliance and identify/manage risk. John Ladley will discuss with Jim how he manages the EDO to accomplish these objectives, and will delve into the following topics along the way:
What was the background to BB&T’s decision to appoint a Chief Data Officer, and what qualifications did Jim bring to the job?
What’s the organizational and reporting structure around the role? What authority does the CDO have to get things done?
What are the five functional tenets of CDO responsibility at BB&T?
How does the CDO provide leadership across various areas including Data Governance, Quality, Analytics and Architecture.
What style of leadership has proven most effective?
How does the CDO differ from the role of the CIO?
Have there been notable successes of the CDO and/or EDO?
Have there been any mistakes along the way…lessons learned that might be handled differently next time?
What issues are on the horizon for the next year? What’s next up for Jim as the CDO?
Big Data and Marketing: Data Activation and ManagementConor Duke
Data Management and Activation
Crevan O’Malley – Evangelist, Oracle Marketing Cloud
Modern Marketers rely on data-driven marketing solutions to deliver more personalised customer experiences across every channel—helping attract and retain the ideal customers who become brand advocates. Discover how to aggregate, enrich, and analyze all your customer data on a single data management platform.
Why Marketers need to know about Data
Tara Grehan - Managing Director at Datalytics
Why Marketers need to know about Data
Tara Grehan - Managing Director at Datalytics
Despite starting out as a qualitative researcher, roles and projects frequently brought me back to data. And so I decided to tackle it and have developed some interesting insights into data management along the way.
Having worked in Marketing both agency and client side for fifteen years now in a variety of roles from Market Research and Customer Insights to Change Management, being comfortable with data has made all the difference and this evening I’ll tell you why.
Using Big Data to Grow on a Budget
Michael Waldron - Marketing and Sales Manager at AYLIEN
AYLIEN is an Artificial Intelligence content analysis startup and Mike will be speaking on their growth journey over the past 6 months. With a focus on how they have delivered growth by optimising their budget, focusing on Data Points that matter and what to points to obsess on through the marketing funnel.
The Chief Data Officer's Agenda: The Need for Information Governance ControlsDATAVERSITY
Information professionals are working in a proverbial fishbowl, always under watchful scrutiny. Increases in regulations, data standards, and competitive environments, coupled with an explosion of information and data assets across the organization, have led to significant challenges in the world of information. Financial regulations such as Basel III are redefining the control landscape. The Affordable Care Act, and extensions within HIPPA, are redefining Healthcare. Data Governance is maturing into Information Governance based on further expansions into business operations, legal, records management, information security and an awareness of the need to focus on derived information over pure data. Against this backdrop, CXO executives are demanding more and more controls prior to automating financial or industry reporting to provide assurance that information is accurate. This webinar explores the nature of Information Governance controls and how the controls can lead to operational efficiencies and reduction of multiple enterprise risk factors.
This webinar will provide an overview of:
The emergence of Information Governance
The nature of typical information landscape across an organization
The definition and need for Information Governance Controls
How Information Governance Controls drive operational efficiency and risk reduction
Critical success factors to integrated controls into overall Information Governance frameworks
The Chief Data Officer - quotes from data & analytics thought leadersMario Faria
Data & Analytics have become so important on how business are differentiating themselves in the marketplace. With the help from the most well recognized data leaders of our time, I have put together their thoughts in this material. By sharing our thinking, we want companies to understand what it takes to become a data-driven organization.
Using Models For Analytically-Driven Cultural TransformationDan Wellisch
Jason Cooper delivered a powerful presentation at our meetup: Chicago Technology For Value-Based Healthcare found here: https://www.meetup.com/Chicago-Technology-For-Value-Based-Healthcare-Meetup/ on March 20. 2018
This document discusses how Oracle Analytics can help companies gain competitive advantages through data-driven insights. It promotes Oracle Analytics as a solution that allows users to access and analyze data from multiple sources, gain predictive insights through machine learning and artificial intelligence, and empower business users to perform self-service analytics. Case studies are presented showing how Oracle customers in media/entertainment and consumer services have used Oracle Analytics to accelerate financial reporting, optimize operations through sales predictions, and free up time for more analysis.
How to Leverage the Power of Data Analytics in Sales?Shaily Shah
Data is the DNA behind the robust analytics and insights supporting modern organizations to recognize new products, determine how to serve customers better, and enhance operational efficiencies.
Chris Gabriel, VP of Solutions Management at Logicalis Group, explores the world of ‘Big Data’, to look at the impact of ‘internet time’ on decision-making and the increasingly central role of business analytics in driving long term competitiveness.
Large-scale data gathering and analytics are becoming important for financial institutions to gain competitive advantages. BANKING INSIGHTS leverages data structures to provide support that gives financial organizations an edge. Their powerful business intelligence system provides new insights within financial institutions using an integrated modular approach focused on tangible deliverables, a proven information model, and driving business insights to deliver sustainable value.
Collaborative Compliance using Trust ExchangeTrust Exchange
Collaborative Compliance for Banks and Credit Unions. The Trust Exchange is a community of businesses who securely disclose and monitor key information to increase their trust in each other.
The document discusses how banks can leverage big data and analytics to gain a competitive advantage. It notes that banks have large volumes of untapped customer data that, if analyzed ethically and legally, can be used to increase trust, retain customers, gain more business, and build loyalty. The chief data officer of Nedbank says banks need to create foundations to securely and effectively leverage customer data to empower teams. This includes strategies for data governance, technology, and developing a data-driven culture. The chief technology officer of Absa believes big data can be used to deeply personalize services for each customer based on their individual needs using artificial intelligence.
CREATING CUSTOMER-CENTRIC PRODUCTS USING BIG DATA - KRITI SHARMABig Data Week
Kriti is the Global Head of Product, Real-time Big Data Analytics at Barclays where she drives Open Source and also focuses on emerging markets such as Africa. She recently led Product Management for the award winning Mobile Payments app Barclays Pingit. Kriti is a Google Grace Hopper Scholar, Govt. of India’s Young Leader in Science, Anita Borg Institute’s Pass-it-on Award winner, Rajiv Gandhi Scholar, has served on a Research and Leadership Programme initiated by the Head of the Scientific Advisory Council to the Prime Minister of India and currently sits on the Google Anita Borg Panel to promote Computer Science to women.
Kriti also focuses on driving Open Data Collaboration across retail, healthcare and financial services.
Vantiv has undergone a business transformation to become more agile and predictable in its delivery of payment processing solutions. Over the past year, Vantiv has made progress in forming dedicated agile teams, establishing key performance indicators, and delivering value in iterative sprints. However, challenges remain around test automation, engaging customers earlier, and achieving full organizational agility. Moving forward, Vantiv aims to further align its work to value streams, instill a culture of continuous improvement, and make agility part of its core operating model.
Vantiv offers payment processing solutions for ecommerce businesses, including core payment processing along with value-added services. Their solutions help businesses drive revenue, manage risks, and gain insights from analytics and reporting. Vantiv provides fraud prevention tools, account updating to maximize authorization approvals, and ensures reliable payment acceptance across devices and currencies.
11.15.12 CBIG Event - Kalvin & Vantiv PresentationSubrata Debnath
Vantiv is a leading integrated payment processor in the US, ranking #3 in merchant acquiring transactions and #2 in transaction growth. It processes over 12 billion transactions annually through its single, integrated technology platform for merchant and financial institution services. The presentation discusses Vantiv's efforts to institutionalize analytics into decision making through 5 initiatives: 1) Defining and scoping analytics, 2) Prioritizing location within the organization, 3) Managing all-or-nothing thinking, 4) Balancing accuracy and understandability, and 5) Pushing intelligence to the front lines where business problems occur. Real-time analytics and reducing latency from data to insights is a focus.
This document discusses the journey of Vantiv and Accenture in developing APIs for their enterprise. It outlines the challenges they faced transitioning from shared services to API products, including API proliferation, lack of standards, and knowledge loss. To address these, they organized into API product teams, adopted API management best practices, deployed APIs on resilient platforms, and built long-running teams. Currently, their mature API program has established reusable APIs and aims to spread an agile development culture by integrating API developers into product teams. The next steps involve decentralizing governance while maintaining standards.
Capitalizing on Market Changes to Grow Your Card Programs (Credit Union Confe...NAFCU Services Corporation
The ever-changing and almost daily shifts in the market provide enormous opportunities for credit unions to extend their reach by effectively leveraging debit and credit card programs. These programs are highly visible, provide important consumer functionality and drive revenue and membership growth. In this 2012 Strategic Growth Conference session, we get to learn how to combine the messages in the market with your credit union brand to capitalize on this unique time, including promoting card features and functionality necessary to differentiate your credit union. We will also look at an analysis of key performance indicators and industry benchmarking data to see how your credit union stacks up! More info at: www.nafcu.org/vantiv
Mobile solutions are seemingly everywhere these days, and laptops,
tablets, and smartphones are enabling an “anytime, anywhere”
approach to business and personal lives. This is starting to include
payments. In news reports and ad campaigns, consumers are learning
that they can use their mobile devices to buy anything from a
Starbucks coffee or a Big Mac to office supplies, lumber, and clothing.
The age of mobile payments, it seems, is upon us. For more info: www.nafcu.org/vantiv
Rising Above Uncertainty: Opportunities and Challenges for Credit Unions in P...NAFCU Services Corporation
Credit unions face opportunities and challenges from evolving payments markets. Regulatory changes are reshaping retail financial services, increasing pressure on legacy models. Emerging technologies and new entrants threaten traditional revenue streams. Credit unions have opportunities for growth but must continue innovating. EMV implementation in the US faces delays from dual debit network requirements. Prepaid cards and mobile devices are gaining traction, changing how consumers interact with financial institutions. To compete, credit unions must enhance digital capabilities and appeal to younger demographics through offerings like mobile payments and banking. Trusted brands position credit unions well to lead developments.
As mobile payments rapidly become the norm, you need to stay on top of trends. Vantiv interviewed 35 top executives at financial institutions and tier1 merchants. Then, they compared responses with consumers' outlooks on mobile. Vantiv's research revealed significant gaps – as well as opportunities. These compelling results were compiled in a new webinar – giving you the mobile insight you need to lead your business to the next level. Fore more info: www.nafcu.org/vantiv
10 Ways Your Boss Kills Employee MotivationOfficevibe
This document outlines 10 ways that bosses can kill employee motivation, including micromanaging employees, focusing only on mistakes, dismissing new ideas, holding useless meetings, making empty promises, telling inappropriate jokes, not keeping their word, measuring employee success in the wrong way, setting unrealistic deadlines, and playing favorites. The document encourages bosses to listen to employee concerns to better motivate them.
Webinar | Using Big Data and Predictive Analytics to Empower Distribution and...NICSA
With the proliferation of Big Data-oriented technology and its accompanying applications of advanced statistical techniques, asset managers are enabling their sales and marketing teams with more insight into the preferences and proclivities of their clients, both advisors and investors. This webinar will give attendees a general understanding of Big Data’s technologies and techniques especially as they pertain to using predictive analytics for more effective and targeted marketing and distribution.
Desired Outcomes:
Understanding Big Data and how it is enabling adopters to use data more effectively than in the past
Familiarity with some of the technological and analytical approaches Big Data enables
Understanding of attribution models for measuring advisor and investor responsiveness
Knowledge of how to prioritize campaigns and contacts by combining measures of valuation and responsiveness
Grasp of some of the more effective way to adopt predictive analysis for sales and marketing
Understanding basics of recommender systems and how next best action is determined
Data as a Profit Driver – Emerging Techniques to Monetize Data as a Strategic...DATAVERSITY
Donna Burbank presented techniques for monetizing data as a strategic asset. She discussed improving core business through optimizing revenue, minimizing costs, and reducing risk. New opportunities include developing products and services like smart metering and selling data sets. Data initiatives can yield substantial benefits; for example, BT Group achieved over $800 million from data quality improvements.
This document summarizes IBM's business analytics and big data strategy and capabilities. It discusses how analytics are important for businesses to gain insights and competitive advantages. It outlines IBM's investments in analytics through acquisitions, expertise, technology, and partners. It describes IBM Smarter Analytics as an approach to turn information into insights and outcomes. Key capabilities discussed include business intelligence, predictive analytics, and big data platforms and solutions.
Big Data & Analytics 101: How Customer Lifetime Value Enhances Predictive Mar...Big Cloud Analytics, Inc.
The document discusses how organizations can fund their big data and analytics initiatives through incremental revenues, cost savings, and more effective marketing spending. It outlines typical stages in a company's analytics journey and provides case studies showing how analytics has been used to increase revenues by 2.5x, decrease costs by $2,190, and improve customer satisfaction by 63%. The key message is that most companies are not fully leveraging the data they already have and that properly implemented analytics can significantly improve customer engagement and drive strong returns.
1. The document outlines strategies for making data actionable, including developing a big data strategy, setting milestones, identifying relevant data sources, and using data to create organizational efficiencies.
2. It emphasizes focusing marketing and data use on engagement, lead generation, and utilization metrics. Data should be used to move from broad approaches like blast marketing to more targeted segmented marketing.
3. Key steps include gathering, organizing, and identifying relevant data, then using data to track activities and outcomes, store results for future use, and continuously tweak marketing based on lessons learned.
Business analytics can help organizations make better decisions by applying analytical techniques to business problems. While many organizations collect large amounts of data, few systematically analyze this data to improve decision making. Common approaches used by organizations to enhance decisions include analytics, testing hypotheses with data, and improving data quality. Business analytics frameworks provide tools to leverage more information for strategic and operational decisions.
Applying Data Quality Best Practices at Big Data ScalePrecisely
Global organizations are investing aggressively in data lake infrastructures in the pursuit of new, breakthrough business insights. At the same time, however, 2 out of 3 business executives are not highly confident in the accuracy and reliability of their own Big Data. Regaining that confidence requires utilizing proven data quality tools at Big Data scale.
In this on-demand webinar, discover how to ensure your data lake is a trusted source for advanced business insights that lead to new revenue, cost savings and competitiveness. You will have the opportunity to:
• Compare your organization’s data lake “readiness” against initial findings from our upcoming annual Big Data Trends survey
• Gain insight into where and how to leverage data quality best practices for Big Data use cases
• Explore how a ‘Develop Once, Deploy Anywhere’ approach, including to native Big Data infrastructures such as Hadoop and Spark, facilitates consistent data quality patterns
Jill Kaplan - Customer Analytics and Marketing to Drive DemandJulia Grosman
This document discusses using small customer data to gain insights and build relationships. It recommends gathering necessary customer information, applying AI to expand profiles, enriching data with firmographics, and focusing campaigns on key metrics like customer lifetime value. Case studies show how small data can drive conversion, loyalty, and advocacy by identifying high-value customers. The roadmap involves understanding data needs, enriching profiles, and aligning sales and marketing around metrics to build a strategic customer database and revenue campaigns.
Building Deeper Advisory Relationships with DataNICSA
An exploration into how asset managers are addressing today’s marketplace challenges and leveraging new tools and technologies to create more fruitful relationships with financial advisors.
The asset management industry is confronted with several challenges to growth. Increased transparency via technology, competitive fee pressure, product commoditization, regulatory change and demographic shifts are contributing to increased margin pressure. One possible solve is to deepen relationships by turning existing client data into an asset. While leveraging analytics to inform client segmentation, client journey mapping and brand enhancement is not a novel exercise in the business world, it has perhaps not been fully adopted and implemented within intermediary distributed asset management.
How GetNinjas uses data to make smarter product decisionsBernardo Srulzon
GetNinjas is a platform that connects customers needing services with professional service providers. Business intelligence plays a key role in optimizing the customer experience by measuring metrics at each step of the customer lifecycle. GetNinjas implemented Snowplow, an open source product analytics platform, to gain more granular insights from their data compared to limitations of Google Analytics. They structure their data team within cross-functional squads and aim to empower other teams to create and validate hypotheses for smarter decision making.
Building Outstanding Customer RelationshipsAmy Cross
Next best action marketing is a tactic that has been around for a while, but few marketers have been able to fully take part in this powerful marketing strategy – especially in financial services, where customer data is abundant but hard to act on for marketing use. It’s a concept that the whole organization needs to align on because it impacts the entire customer experience. With next best action marketing, each customer becomes a “segment of one” versus a “segment of many,” improving marketing action precision and relevancy.
To implement next best action marketing, you need to have the right technology in place. It should be able to give you a complete understanding of each and every customer, and also be able to decide on – and recommend – the right actions to take, at the right time, based on the complete and actionable view of each individual customer.
James Taylor, CEO of Decision Management Solutions, and Steven Noels, CTO and Co-Founder of NGDATA, delve into next best action marketing, how you can use it to empower the customer experience, and the right technologies to get you there.
Key takeaways include:
Key concepts of next best action marketing
The importance of understanding your customers in an omni-channel environment
How to get your organization aligned around the strategy
How to get on the road to success with the right technology in place
Waterstons’ Business analytics specialists Dan, Chris and Michael will present Waterstons’ latest thinking and experience around the drivers behind analytics and intelligence in the business environment, and the current business analytics marketplace.
They will discuss Waterstons’ Business Insights Maturity Model, which sets out the methodology we use to help our customers derive competitive advantage, improve productivity and management control, and provide support for better business decision making, before using case studies to explain how real businesses are leveraging the power of modern analytics tools.
Forget Big Data. It's All About Smart DataAlan McSweeney
This proposes an initial smart data framework and structure to allow the nuggets of value contained in the deluge of largely irrelevant and useless data to be isolated and extracted. It enables your organisation to ask the questions to understand where it should be in terms of its data state and profile and what it should do to achieve the desired skills level across the competency areas of the framework.
Every organisation operates within a data landscape with multiple sources of data relating to its activities that is acquired, transported, stored, processed, retained, analysed and managed. Interactions across the data landscape generate primary data. When you extend the range of possible interactions business processes outside the organisation you generate a lot more data.
Smart data means being:
• Smart in what data to collect, validate and transform
• Smart in how data is stored, managed, operated and used
• Smart in taking actions based on results of data analysis including organisation structures, roles, devolution and delegation of decision-making, processes and automation
• Smart in being realistic, pragmatic and even skeptical about what can be achieved and knowing what value can be derived and how to maximise value obtained
• Smart in defining an achievable, benefits-lead strategy integrated with the needs business and in its implementation
• Smart in selecting the channels and interactions to include – smart data use cases
Smart data competency areas comprise a complete set of required skills and abilities to design, implement and operate an appropriate smart data programme.
Data Visualization for Business - Pallav NadhaniFusionCharts
The document discusses data visualization for business purposes. It notes that data visualization combines art, science, math and technology to visually display measurable quantities using tools like points, lines, curves and color to understand, substantiate hypotheses and discover from data. The document outlines different types of visualizations and provides tips for effective business data visualization like knowing your audience, choosing the right type of visualization, and exploring ways to enhance it. It stresses tailoring visualizations to the goals, roles and needs of different business departments and positions.
Data Governance Strategies - With Great Power Comes Great AccountabilityDATAVERSITY
Much like project team management and home improvement, data governance sounds a lot simpler than it actually is. In a nutshell, data governance is the process by which an organization delegates responsibility and exercises control over mission-critical data assets. In practice, though, data governance directs how all other data management functions are performed, meaning that much of your data management strategy’s capacity to function at all depends on your effectiveness in governing its implementation. Understanding these aspects of governance is necessary to eliminate the ambiguity that often surrounds effective data management and stewardship programs, since the goal of governance is to manage the data that supports organizational strategy.
This webinar will:
-Illustrate what data governance functions are required for effective data management, how they fit with other data management disciplines, and why data governance can be tricky for many organizations
-Help you develop a detailed vocabulary and set of narratives to facilitate understanding of your business objectives and imperatives that demand governance
-Provide direction for selling data governance to organizational management as a specifically motivated initiative
This document discusses databases and analytics for nonprofit organizations. It covers fundamentals of databases, including collecting relevant data and metrics. It also discusses utilizing data through analytics to gain insights, improve performance, and make smarter decisions. Some key points covered include:
- Choosing appropriate data sources and metrics to measure depending on organizational goals
- Ensuring databases can effectively capture and report on necessary data across multiple channels
- Leveraging different types of analytics, including benchmarks, forecasts, and scenario planning, to support strategic decision making
- Setting goals and tracking key performance indicators to understand what approaches are most effective
This white paper discusses how analytics can help IT executives become strategic business leaders by providing speed of knowledge. It argues analytics enables organizations to gain insights from large amounts of data and predict future outcomes, allowing for improved decision making. The paper explains how analytics goes beyond basic business intelligence reporting by incorporating techniques like predictive modeling, data mining, and visualization. It emphasizes that integrating different analytic functions provides a multidimensional understanding of business and customer data that can be leveraged for competitive advantage. Finally, the document discusses how IT leaders can implement robust analytics platforms to enable sophisticated analytics across their organizations.
Big data and analytics ibm digital game plan short v2 nonconfFriedel Jonker
This document provides an agenda and overview for a presentation on activating the individual enterprise through customer centricity and big data and analytics strategies. The presentation discusses developing a 360 degree view of customers, moving from traditional analytics 1.0 to more advanced analytics 3.0, and focusing on cognitive solutions from IBM Watson such as Watson Explorer. It emphasizes building a customer centric model and activating the individual enterprise to better understand and serve customers.
A Presentation on Data Stewardship & Data Advocacy - the Benefits and Advantages of Implementing a Data Strategy for Businesses originally presented to the Directorial Team at Business Link North West and the North West Development Agency
Similar to Vantiv-Kalvin Presentation at CBIG event (20)
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
1. Institutionalizing
Analytics into
Decision Making
Cincinnati Business Intelligence Group Presenters:Cincinnati Business Intelligence Group
November 15, 2012
Presenters:
Scott DeAngelo, Senior Vice President of
Strategic Pricing & Portfolio Management,
Vantiv
Sarah Barber, Director of Strategic Pricing
& Portfolio Analytics, Vantiv
Shankar Ranganathan, Vice President of
Analytics & Strategy, Kalvin
2. Merchant Services Financial Institution Services
Card Issuer
Processing
Merchant
Acquiring
Network
Services
A Leading Integrated Payment Processor in the U.S.
#3 Ranked U.S. Merchant Acquirer
in Total Transactions
#1 Ranked U.S. Merchant Acquirer
in PIN Debit Transactions
#2 Ranked U.S. Merchant Acquirer
in Transaction Growth
9% Market Share in the U.S. based
on number of FI customers
1,300 Financial Institution
relationships across the U.S.
Vantiv is Well Positioned as a Market Leader
3. Leading Merchant
Services Provider
Leading Financial
Institution Services Provider
Single, Integrated
Technology Platform
12b+ Transactions at 400k+ Merchant Locations
Processed Annually through a Single Platform
Proprietary Technology Platform
Integrated Business
Comprehensive Suite of Services
Diverse Distribution Channels
Strong Execution Capabilities
16. “The test of a first rate intelligence is the ability to hold two
opposing ideas in mind at the same time and still retain the
ability to function.”
-F. Scott Fitzgerald
Key lessons learned from data
visualization at
17. Data tells the narrative…
Opposing ideas by default work against each other.
But if we think of opposing ideas like a magnetic force-- the very force that
causes like magnets to push against each other also causes attraction.
To get them to work together all relies on how they are positioned.
…if that data is well-positioned
18. Visualizations deliver
organizational buy-in.
Total Signature Revenue by Month – Vantiv Merchant Direct
Feb. ’12
$18,000,000
$20,000,000
Pricing Effect
Spring ’11
Pricing Actions
Fall ’11 Pricing
Actions+Durbin
January ’12
Pricing ActionsAction 1 Action 2 Action 3
Incremental
$-
$2,000,000
$4,000,000
$6,000,000
$8,000,000
$10,000,000
$12,000,000
$14,000,000
$16,000,000
02/01/10
03/01/10
04/01/10
05/01/10
06/01/10
07/01/10
08/01/10
09/01/10
10/01/10
11/01/10
12/01/10
01/01/11
02/01/11
03/01/11
04/01/11
05/01/11
06/01/11
07/01/11
08/01/11
09/01/11
10/01/11
11/01/11
12/01/11
01/01/12
02/01/12
Volume Effect
29%
of
total
42%
of
total
50%
of
total
Baseline
27. So, what is Analytical Process?
• Shifts in Margin
Business
Problem
• Attrition issue
• Lower Margin Customer
Acquisition
• Volume Mix Shift
Analytics
• Health Check
Dashboard
• Customer
Migration Report
• Price/Attrition
Alerts
Information
• Volume Mix Shift
Alerts
• Cross Sell
• Up Sell
• Reduce Price
• Add-On
Activate
Operationalize
and update
strategy
•KPIs
•Dashboards
•ROI
Measure
28. Speed of Analytics – Why business reaction is slow?
BusinessValue
business
event
data
stored
information
delivered
Business
Capture
Latency
Analysis
Latency
Decision
Latency
Time
action
taken
Captured
Business
Value
Source: Richard Hackathorn at TDAN.com
Lost
29. Speed of Analytics – How can we increase speed?
business
event
data
stored
information
delivered
BusinessValue
Time
action
taken
Business
Captured
Business
Value
Source: Richard Hackathorn at TDAN.com
Lost
30. Speed of Analytics – Getting Real Time …….
business
event
data
stored
information
delivered
action
taken
BusinessValueLost
Time
Captured
Business
Value
Source: Richard Hackathorn at TDAN.com
31. Data to Insights - How Traditional Process works?
Data sources
Data Integration Data Marts
PresentationTool
Decision Makers
Report
Consumers
Integrated Data Warehouse and BI
DataAnalytics
PresentationTool
Business
Analysts
DataAnalytics
End to End Data Analytics Solution
6-8 months 6-8 months 6-8 months
32. We are building data and delivering insights at the same
time
Data sources
Data Integration Data Marts
PresentationTool
Analysts
and
Business Users
Integrated Data Warehouse and BI
Enriched and
Intelligent Data
PresentationTool
Feedback Process ( Update Analytical Models)
KalvinTellTM
– An
Integrated
Solution Analytical
Engine
Decision Makers
Analysts
Business Users
Decision Makers
Analytical Data Synchronization
33. KalvinTellTM
– An Integrated Analytical Engine for faster
turnaround
Data
Integration
Logic
Report
Calculations
& Business
Rules
Data
Quality
Logic
Data
Security
Logic
Multiple
Regression
Survival
Segmentation
Probabilistic
Model
Data sources
KalvinTellTM – an automated
end-to-end solution with
up-to-date predictive
analytics embedded within
data layer
KalvinTell
™
(Kalvin’s
Analytical
Engine)
Growth
Targeted
audience
WebI
Dashboards
Upside
potential Explorer
Attrition
Rate
Pricing
Strategy
Mobility
35. Real Time in
Days
What? What Next?
Pricing and
Attrition Alerts
Cross Sell or
Up Sell
Real Time in
Months
What? What Next?
Merchant
Centric
Segmentation