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Big Data Expo 2015 - Capgemini Big Data, Whtat's in it for me?

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Capgemini will use customer examples to show that Big Data is about the ability to analyze and act, using data from sensors, transactions, or interactions from inside as well as outside the organization, to solve tougher business problems, create more competitive advantage, and make more informed decisions in a tightly connected world.

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Big Data Expo 2015 - Capgemini Big Data, Whtat's in it for me?

  1. 1. BIG DATA, WHAT’S IN IT FOR ME? - SOME CUSTOMER CASES Big Data Expo Jorgen Heizenberg
  2. 2. Copyright © Capgemini 2015. All Rights Reserved Insights & Data: Big Data Expo We need to create Insights from Data where it delivers most value: at the point of action 43% Already restructuring their organization for big data opportunities 64% Big Data is enabling new revenue streams 54% Investment in big data and analytics will outstrip past investment 73% Big Data is providing significant new business opportunities 59% Data is becoming a core component of market value … as the centerpiece of digital change, it enables Insights at the point of action, creating entirely new business value Insights DATA The new data landscape has no more limits to volume, structure, timing and what can be analyzed in real-time …
  3. 3. Copyright © Capgemini 2015. All Rights Reserved Insights & Data: Big Data Expo In a world of connected people and things … 1,820TB of Data created # Source: World Economic Forum *Source: Gartner 168 Million+ emails sent 98,000+ tweets 11Million instant messages 217 new mobile web users 25 Billion Connected "Things" in use in 2020* 3,5 Billion Cars 13,2 Billion consumer devices 695,000 status updates 698,445 Google searches 2.5 Billion social network users in 2018
  4. 4. Copyright © Capgemini 2015. All Rights Reserved Insights & Data: Big Data Expo
  5. 5. Copyright © Capgemini 2015. All Rights Reserved Insights & Data: Big Data Expo … the new data landscape is the centerpiece of digital change …… IoTMobile Cloud Social Media New Data Landscape No limit to volume No limit to structure No limit to analyzing No limit to timing
  6. 6. Copyright © Capgemini 2015. All Rights Reserved Insights & Data: Big Data Expo .... it evolves to meet the dual dimensions of Big and Fast … GB TB PB GB/s MB/s KB/s Day Hour Min Sec Sub-sec BIG FAST Data Warehouses Event Processing Tools Hadoop In-memory databases Historical Data StreamingData (Events) OLTP Databases It's all true after all: size doesn’t matter. It is really about the ability to analyze and act in real time… …to solve tougher business problems, create more competitive advantage and make informed decisions in a tightly connected world. If there is no longer a need to wait, the opportunities for radical business reinvention are limitless.* *Source: Capgemini’s TechnoVision 2015 www.capgemini.com/technovision
  7. 7. 15Copyright © Capgemini 2012. All Rights Reserved Presentation Title | Date
  8. 8. 16Copyright © Capgemini 2012. All Rights Reserved Presentation Title | Date
  9. 9. Copyright © Capgemini 2015. All Rights Reserved Insights & Data: Big Data Expo … and make businesses thrive on insights from data in many different ways … FOUR WAYS in which data-driven insights are changes businesses Efficiency and cost focus Use of insights to identify potential operational efficiencies in the business and so reduce costs. But also: IT cost reduction through modernization of the data landscape, leveraging next-generation Big Data technology. Growth of existing business streams Insights are used to enhance existing market offers through better understanding of customers/consumers and of the effectiveness of marketing & sales. Growth through market disruption from new revenue streams Big Data is changing traditional business boundaries. Enterprises explore business areas that were unknown or unthinkable before. Monetization of data itself, with the creation of new lines of business. In some industries – such as in financial services, media & entertainment and telecommunications - it is already apparent that the data organizations hold is becoming their major product. Source: Big & Fast Data: The Rise Of Insight-driven Business
  10. 10. Copyright © Capgemini 2015. All Rights Reserved Insights & Data: Big Data Expo … creating direct business value. Large number of offline spreadsheets; Manual adjustment based on actual data from SAP; Market forces ignored An external data-driven statistical sales forecast solution; Automated and Integrated with SAP Better inventory management, production planning & improved internal governance Predictive Analytics helps develop an external market data-driven sales forecast model to address key planning, reporting and analysis requirements at Ferro SAP Accurate Sales Prediction, Automated Short term (1-Yr) and Long-term (5-Yr) Forecast High rail usage, complex assets, increasing data volume (track sensor data) Reduce Maintenance Cost; Improve Asset Availability & Service Delivery Reduced Maintenance effort & Cost; Higher Asset availability; Improved service & performance Saved 112 MIO CAPEX Saved 13 MIO OPEX Linear Asset Decision Support solution, helps Network Rail get access to enhanced insight at the point of action, ensuring reduced maintenance cost, higher asset availability and improved service delivery Linear Asset Decision Support solution; Consolidated data, consistently available, Visual, easy to interpret format; in the hands of the track engineers 70Mn transactions in over 100,000 commodities amounting to INR16Bn a year; Prevalent tax evasion Plug revenue leakage, Improve tax compliance and Expand taxpayer base Financial Savings of INR 560Mn ; Improved dealer satisfaction Risk & Fraud analytics helps MSTD to plug revenue leakage, improve tax compliance, expand tax base and enhance operating efficiency Predictive models enabling the detection of fraudulent claims; Revenue Forecast model % % %
  11. 11. Copyright © Capgemini 2015. All Rights Reserved Insights & Data: Big Data Expo … creating direct business value. Category & business function management; 20,000 users globally Enable quicker, aligned and better informed decisions; Robust solution that could scale up for cost effective and quick deployment; High user adoption Improved business decisions – from “best recommendation” to “clear direction” and Insights delivered 80% faster Business Analytics at Global Scale transforms the way Unilever businesses around the world access and use information, bringing enhanced insight and consistency 3 year Transformation program - enabling real time decision support - with a single template across business functions globally CoE Model for the application development factory to achieve economies of scale, service consistency, quality and competitive pricing A phased deployment approach to develop the Global BI Factory Process improvements resulting in a 30% productivity increase Global Business Insights Service Factory, helps a leading Beverage corporation reduce administrative and overhead costs, increase productivity and improve time to approach the market Single global BI Platform for all its business users and regional development needs Information from job boards, Institutions, LinkedIn and other social media, videos, company reports Robust and consolidated database; Insights from large volume of data They are is now able to proactively address new and future employment regions and prospects Big Data Solution Helps leverage widely available job market information to Improve Insight into Localized Job Markets and drive business growth and expansion Big Data solutions to automate and optimize the matching between job offers and available skills in local job market A Leading Multinational Beverage Company A Global Employment Agency
  12. 12. Copyright © Capgemini 2015. All Rights Reserved Insights & Data: Big Data Expo Geo-based advanced analytics for optimized HR Services at Global Employement Agency  To better leverage the sheer volume of job related information increasingly available across various sources, ranging from job boards, Institutions, LinkedIn and other social media, to videos and company reports  Build a robust and consolidated database which could be easily accessed by job seekers and public & private organizations  Being more proactive in the job market by anticipating requirements/opportunities and being able to fill positions quickly › Leverage the information for its own business growth and also develop new HR services for public and private companies  In partnership with Cloudera, worked on a proof of concept (PoC) project to match job demand and supply in a specific geography – France  Solution involved implementing four major elements, which were not present in the existing system: › Cloudera Enterprise to store all data and run the data modeling engine › An SQL database running in conjunction with Cloudera Enterprise › A data visualization product and › A solution to geo-code the geographical data  Also developed an algorithm to identify job openings based on the skills mentioned in the CVs  The Big Data solution was successful in delivering improved insights into the job markets in France, with users now proactively able to match job seekers with relevant openings  Responsive, quick and user friendly, with the ability to analyze around 200,000 documents in only two hours. Received good feedback from users on its accuracy and speed  Following a successful and low- cost POC, this project is now being expanded to explore around 15 additional business use-cases Successful PoC, leading to design of proactive services addressing new and future employment regions and prospects Read More about this: Success Story Global Employment Agency Leverage widely available job market information, to drive business growth and expansion Big Data solution in order to manage and deliver rapid insights into the sheer volume of data involved
  13. 13. Copyright © Capgemini 2015. All Rights Reserved Insights & Data: Big Data Expo But more data also creates more challenges … 53% Do not follow top-down approach for Big Data strategy development Have not completely integrated their data sources across the organization 79% Have robust processes for data capture, curation, validation and retention 35% Scattered data lying in silos across the organisation Do not have well-defined criteria to measure the success of their on Big Data initiatives 67% Absence of clear business case for funding and implementation 54% Do not have joint project teams where business and IT executives work together on Big Data initiatives 47% Have either scattered pockets of resources or follow a decentralized model for analytics initiatives Ineffective co-ordination of Big Data and analytics teams Use cloud based Big Data and analytics platforms 36% Dependence on legacy systems for data processing and management
  14. 14. Copyright © Capgemini 2015. All Rights Reserved Insights & Data: Big Data Expo .. and organizations look for help on their Journey to Insights… a Massive new data sources Finding patterns New opportunities Delivering Business outcome Complex existing BI landscape A culture of uninformed decisions Drowning in reports Data-savvy new competitors
  15. 15. Copyright © Capgemini 2015. All Rights Reserved Insights & Data: Big Data Expo … Start with 7 Insights & Data Principles in mind… Unleash Data and Insights as-a-service Make Insight-driven Value a Crucial Business KPI Empower your People with Insights at the Point of Action Develop an Enterprise Data Science Culture Master Governance, Security and Privacy of your Data Assets Enable your Data Landscape for the Flood coming from Connected People and Things Embark on the Journey to Insights within your Business and Technology Context 1 2 3 7654
  16. 16. Copyright © Capgemini 2015. All Rights Reserved Insights & Data: Big Data Expo What’s next on your journey?
  17. 17. Copyright © Capgemini 2015. All Rights Reserved Insights & Data: Big Data Expo Predictive Sales Forecasting for the CFO at Ferro About the Client: Founded in 1919, Ferro Corporation is a leading global supplier of technology-based performance materials for manufacturers. The company operates primarily in Europe and in North America and has around 4,000 employees across 33 manufacturing sites around the world  The sales forecasting process based on a large number of offline spreadsheets, resulting in tremendous manual effort and time consumption  The forecast numbers were often manipulated based on actual data downloaded from SAP, on a case- to-case basis, resulting in a projection which was an average of historical data.  The resulting forecasts were often unreliable because they did not take into account the macroeconomic forces which impacted the business.  Developed a model using regression analysis to factor in economic trends to the sales predictions to ensure more accurate forecast and also provide insights to the business about the trends impacting demand for their product/region › Developed Economic Relationship Hypothesis (ERH) to determine the end-use markets for Ferro’s products › Analyzed economic data from multiple public and private sources to select the right data provider for Ferro’s business model. › Performed regression analysis on sales and economic data. › Automated process by integrating with Ferro’s existing ERP solution. Robust, Integrated & Automated product & region-level sales forecast model based on external market forces Read More about this: Success Story-Ferro Improved corporate financial decisions and better external guidance Time consuming, manual forecasting process, resulting in unreliable forecasts  Accurate Sales Prediction with reduction in standard error of forecast by 71%, resulting in better inventory management & production planning  Automated Short term (1-Yr) and Long-term (5-Yr) Forecast, reduced budgeting & forecasting cycle time  Integrated with other plans like operational planning ensured better internal governance  Organization wide transformation from a supply chain way of thinking to a demand-side view based on future growth
  18. 18. Copyright © Capgemini 2015. All Rights Reserved Insights & Data: Big Data Expo Enabling Track Asset Decision Support at Network Rail About the Client: Network Rail owns and operates most of the rail infrastructure in Great Britain. With nearly 1.7Bn passenger journeys made each year, it aims to fulfill the vision of a Safe, Reliable and Efficient Railway  With anticipated increase in rail usage, both in terms of higher passenger numbers and more trains on the track, there was a need to find new ways to optimize the management of its core assets  To emerge as railway fit for the future by embracing new, digital technologies to generate innovative insight to improve service delivery  The Office of Rail Regulation (the industry regulator), had identified a £1.7Bn saving to be made in Network Rail’s spending plan for the day-to-day running of the network  Delivered a Linear Asset Decision Support solution to track assets, in collaboration with an external vendor › consolidating data from 14 asset information systems into a single digital solution › ensuring consistently available information in easy to interpret, visual formats, at the point of action › defining operating model for overall business solution including appropriate governance, data management, and increased capability of the solution users  Used a "Model Office" approach to harness the capabilities and expertise of the Subject Matter Experts from the business  Enhanced insights helped Network Rail to make better decisions on how they manage their track assets, by doing the right work, in the right place, at the right time.  Moving from time-based to need-based maintenance by placing the insights in the hands of the track engineers, enabling better coordination of track maintenance  Improved decisions also resulted in more preventative track maintenance, fewer asset faults and failures, Increased asset availability and Improved customer experience for Network Rail Consolidated, visually represented data and effective insights on the Rail track assets, at the point of action Read More about this: Success Story Network Rail YouTube video >10% reduction in maintenance cost and increased availability of asset Improved service, performance, and safety at lower total cost
  19. 19. Copyright © Capgemini 2015. All Rights Reserved Insights & Data: Big Data Expo Risk & Fraud Analytics for Maharashtra Sales Tax Department About the Client: The Maharashtra Sales Tax Department (MSTD) is a major revenue collecting body for the Government of Maharashtra, India. With a 58% share in the State revenue, the department caters to 7,73,000 dealers and 23,00,000 enrolled profession taxpayers across Maharashtra.  Prevalent tax evasion by under-reporting incomes or sales, overstating deductions, exemptions, or credits.  Vast chunks of data from over 70Mn transactions in over 100,000 commodities amounting to INR16Bn a year  Absence of a consolidated view of collections and operations  Lack of appropriate tools to create accurate forecasting inputs and perform advanced analysis  Automated the process of building sophisticated predictive models that enables the detection of fraud through circular trading and predictive analysis, using a foundational layer of multi-tier SAS environment for a DWH/BI and Advanced Analytics Solution › Proprietary algorithm and process to identify carousel fraud › Transaction and Dealer Risk Score calculation to provide decision support across various divisions › Revenue Forecast model based on appropriate technique. What-if analysis tool for planning  Implemented the Computerized Desk Audit (CDA) for MSTD to calculate the tax liability of dealers  Enabled MSTD to spot potentially fraudulent claims, detects erroneous patterns of financial reporting, close the gap between revenue owed and collected and expand its taxpayer base  Improved service delivery by actualizing Anywhere Anytime services for website compliance, enabling improved dealer satisfaction due to easily available information, and bringing government services closer to the doorsteps of citizens  Enhanced operating efficiency due to reduction in the tedious and manual effort, with implementation of dealer-facing e-service End-to-end business intelligence, data warehousing, and reporting solutionRead More about this: Success Story MSTD Plug revenue leakage, Improve tax compliance and Expand taxpayer base Financial Savings of INR 560Mn, Availability of additional man-hours leading to further savings
  20. 20. Copyright © Capgemini 2015. All Rights Reserved Insights & Data: Big Data Expo Enhancing Business Analytics Capability at Unilever About the Client: Unilever, the British-Dutch multinational corporation, is one of the world’s largest consumer goods companies, with two billion people using its products every day and 170 billion products bought across 180 countries every year  Enable global category and business function management, through enhanced reporting with consistent information  Respond to industry and market trends around ‘big data’ and use consumer insights and point of sales data more effectively  Need a robust solution that could scale up to meet ongoing growth and deal with the ever growing volumes of available data and to deploy this solution cost effectively and quickly  Need for a simple & aligned solution that people want to use as part of their daily working life  Business consulting, technology and application management support, across a wide range of business functions and technologies across four continents › A number of functions already live around integrated supply chain analytics, EPOS reporting, HR analytics, supplier intelligence and spend analytics.  Implementation of a technology solution consisting of Teradata EDW, Microsoft BI and SAP Business Objects Data Services  A 3-year roadmap in place covering all business functions and geographies with progress on track to roll-out the new platform, tools and processes  Better decision making, based on global, real-time data visibility across categories, accounts and segments  Increased user adoption, which empowers the users to create their own queries using familiar and intuitive toolsets Further benefits planned and on track:  Reduced system costs based on decommissioning and reduced cost of ownership  Information enabled process improvements, e.g. speed to market, channel analysis, consumer insights Transformation program - enabling real time decision support - with a single template across business functions globally Read More about this: Business Analytics at Global Scale in Unilever Video: Unilever on Connect Enabling quicker, aligned and better informed decisions Improved business decisions - from “best recommendation” to “clear direction” and Insights delivered 80% faster
  21. 21. Copyright © Capgemini 2015. All Rights Reserved Insights & Data: Big Data Expo Developing a Global BI factory for A Leading Beverage Company  Building Community of Excellence (CoE), to achieve economies of scale, service consistency, quality and competitive pricing by leveraging common technology and skills across the application development factory  The Client also needed a proven player to deploy one of their world’s largest SAP Business Objects Platform to handle their BI solutions, which are being followed worldwide  The Global BI Factory was one of four organization teams focused under the CoE, the others being – Collaboration and Knowledge Management, Package Solutions and Web & Mobile  Adopted a phased deployment approach to develop the Global BI Factory, with focus on quality, reduced timelines & cost effectiveness  Global BI Factory comprised MSBI & BO-XI streams, along with Distributed Project Management and Architecture & Design  Developed a single global BI Platform, consisting of Data Acquisition, Data Management, Reporting & Integration of bottler data  Reporting elements including adhoc reports, dashboards & scorecards, built-in leveraging BOXI Enterprise Reporting Platform  The BI platform helped the Beverage major to reduce administration and overhead costs by providing flexible and effective ways to meet fluctuating demand from Sales and Operations  Flexible delivery models were based on different project needs such as turnkey, fixed bid, staff augmentation, time and materials  The company could see clear business & IT roles and responsibilities for data stewardship & processing  Deeper competencies and thought leadership contribution helped to improve time to approach market Single global BI Platform for all its business users and regional development needs Process improvements resulting in a 30% productivity increase Global BI needs addressed with focus on quality, reduced timelines & cost effectiveness About the Client: Multinational beverage corporation, an acknowledged leader in the manufacture, distribution, and marketing of beverages across the globe. Producing more than 3,500 products under 500 brands, it operates in more than 200 countries, with 20 million customers

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