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Gene Villeneuve - Redefinning the Analytics Experience
The document outlines IBM's Watson Analytics as a tool to empower business users with easy access to data and analytics, emphasizing the importance of data-driven decisions in an ever-evolving technological landscape. It highlights challenges faced by organizations in utilizing analytics effectively and proposes a unified analytics experience that promotes agility and efficiency through cloud-based solutions. Legal disclaimers clarify that the information provided is subject to change and should not be relied upon for purchasing decisions.
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Gene Villeneuve - Redefinning the Analytics Experience
- 1. © 2014 IBMCorporation IBM Watson™ Analytics Be Brilliant
- 2. IBM’s statements regardingits plans, directions, and intent are subject to change or withdrawal without notice at IBM’s sole discretion. Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision. The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract. The development, release, and timing of any future features or functionality described for our products remains at our sole discretion. Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon many factors, including considerations such as the amount of multiprogramming in the user's job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve results similar to those stated here.
- 3. Three Strategic Imperativesare Reshaping the World 3 © 2014 IBM Corporation people-centric Engagement Data for competitive advantage Cloud enables new business models Data is the world’s new natural resource, transforming industries and professions
- 4. Systems of InsightCreate New Value Systems of Insight • Drive every decision • Fuel every interaction • Power every process Systems of Engagement 4 © 2014 IBM Corporation Systems of Record Cloud is creating new expectations
- 5. Expectations from technologyhave never been higher © 2014 IBM Corporation Our work and personal lives have blurred It’s an “always-on” world A Do-It-Yourself mentality now prevails
- 6. Leveraging analytics stillfaces many obstacles Making decisions rapidly is no longer a goal; it’s an imperative © 2014 IBM Corporation The desire to make data-driven decisions is prevalent Source: Analytics: The New Path to Value, a joint MIT Sloan Management Review and IBM Institute for Business Value study. Copyright © Massachusetts Institute of Technology Access to required data sources is critical while maintaining governed standards 34% can not find time to analyze data 38% have a limited understanding of how to use analytics 24% find it difficult to get data
- 7. Even a simpleanalytics project has multiple steps and people Data Access © 2014 IBM Corporation Data Preparation Analysis Validation Reporting Collaboration Business Analysts Business Users IT Data Scientists and Statisticians
- 8. And it’s rarelya straightforward process © 2014 IBM Corporation Business Users IT Data Scientists and Statisticians Data Access Analysis Validation Reporting Collaboration Data Preparation Business Analysts
- 9. IBM Watson Analytics © 2014 IBM Corporation Be Brilliant Put analytics in the hands of everyone Make access to data easy for refinement and use Deliver through the cloud for agility and speed Marketing Sales Finance Operations HR IT Think Ahead Tell a Story Understand Your Business Get Better Data Watson Analytics CClloouudd MMoobbiillee RReeaaddyy SSeeccuurree
- 10. IBM Watson Analytics Self-service analytics for business users and experts alike Business Users Business Analysts Data Scientists IT © 2014 IBM Corporation
- 11. IBM Watson Analytics Empowering the business for success Marketing Sales Finance IT Operations HR Prioritizing Accounts Receivable © 2014 IBM Corporation Identifying and Retaining Key Employees Helpdesk Case Analysis Campaign Planning and ROI Warranty Analysis Customer Retention Examples
- 12. IBM Watson Analytics © 2014 IBM Corporation Natural language dialogue Cloud-based agility Data discovery Quick start intuitive interface Mobile-ready
- 13. IBM Watson Analytics Unified analytics experience © 2014 IBM Corporation Integrated social business Visual storytelling Intelligent automation Data access and refinement Report and dashboard creation Guided analytic discovery
- 14. IBM Watson Analytics © 2014 IBM Corporation Be brilliant! Single Analytics Experience Fully Automated Intelligence Natural Language Dialogue Guided Analytic Discovery Visit WatsonAnalytics.com and get started for free
- 15. © 2014 IBMCorporation
- 16. © 2014 IBMCorporation Legal Disclaimer o © IBM Corporation 2014. All Rights Reserved. o The information contained in this publication is provided for informational purposes only. While efforts were made to verify the completeness and accuracy of the information contained in this publication, it is provided AS IS without warranty of any kind, express or implied. In addition, this information is based on IBM’s current product plans and strategy, which are subject to change by IBM without notice. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, this publication or any other materials. Nothing contained in this publication is intended to, nor shall have the effect of, creating any warranties or representations from IBM or its suppliers or licensors, or altering the terms and conditions of the applicable license agreement governing the use of IBM software. o References in this presentation to IBM products, programs, or services do not imply that they will be available in all countries in which IBM operates. Product release dates and/or capabilities referenced in this presentation may change at any time at IBM’s sole discretion based on market opportunities or other factors, and are not intended to be a commitment to future product or feature availability in any way. Nothing contained in these materials is intended to, nor shall have the effect of, stating or implying that any activities undertaken by you will result in any specific sales, revenue growth or other results. o If the text contains performance statistics or references to benchmarks, insert the following language; otherwise delete: Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon many factors, including considerations such as the amount of multiprogramming in the user's job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve results similar to those stated here. o If the text includes any customer examples, please confirm we have prior written approval from such customer and insert the following language; otherwise delete: All customer examples described are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual environmental costs and performance characteristics may vary by customer. o Please review text for proper trademark attribution of IBM products. At first use, each product name must be the full name and include appropriate trademark symbols (e.g., IBM Lotus® Sametime® Unyte™). Subsequent references can drop “IBM” but should include the proper branding (e.g., Lotus Sametime Gateway, or WebSphere Application Server). Please refer to http://www.ibm.com/legal/copytrade.shtml for guidance on which trademarks require the ® or ™ symbol. Do not use abbreviations for IBM product names in your presentation. All product names must be used as adjectives rather than nouns. Please list all of the trademarks that you use in your presentation as follows; delete any not included in your presentation. IBM, the IBM logo, Lotus, Lotus Notes, Notes, Domino, Quickr, Sametime, WebSphere, UC2, PartnerWorld and Lotusphere are trademarks of International Business Machines Corporation in the United States, other countries, or both. Unyte is a trademark of WebDialogs, Inc., in the United States, other countries, or both. o If you reference Adobe® in the text, please mark the first use and include the following; otherwise delete: Adobe, the Adobe logo, PostScript, and the PostScript logo are either registered trademarks or trademarks of Adobe Systems Incorporated in the United States, and/or other countries. o If you reference Java™ in the text, please mark the first use and include the following; otherwise delete: Java and all Java-based trademarks are trademarks of Sun Microsystems, Inc. in the United States, other countries, or both. o If you reference Microsoft® and/or Windows® in the text, please mark the first use and include the following, as applicable; otherwise delete: Microsoft and Windows are trademarks of Microsoft Corporation in the United States, other countries, or both. o If you reference Intel® and/or any of the following Intel products in the text, please mark the first use and include those that you use as follows; otherwise delete: Intel, Intel Centrino, Celeron, Intel Xeon, Intel SpeedStep, Itanium, and Pentium are trademarks or registered trademarks of Intel Corporation or its subsidiaries in the United States and other countries. o If you reference UNIX® in the text, please mark the first use and include the following; otherwise delete: UNIX is a registered trademark of The Open Group in the United States and other countries. o If you reference Linux® in your presentation, please mark the first use and include the following; otherwise delete: Linux is a registered trademark of Linus Torvalds in the United States, other countries, or both. Other company, product, or service names may be trademarks or service marks of others. o If the text/graphics include screenshots, no actual IBM employee names may be used (even your own), if your screenshots include fictitious company names (e.g., Renovations, Zeta Bank, Acme) please update and insert the following; otherwise delete: All references to [insert fictitious company name] refer to a fictitious company and are used for illustration purposes only.
Editor's Notes
- #4 First, let me give you the top-line IBM perspective: IBM’s strategic imperatives--- Stressing TRANSFORMING INDUSTRIES AND PROFESSIONS WITH DATA. (Not
- #5 Systems of Insight drive new value We have arrived at a tipping point moment where data is available at such a scale that analytics can be applied to solve problems and yield real-time results where it was never before possible. By creating Systems of Insight, which lie at the intersection of Data, Cloud and Engagement, every decision, interaction and process can now be fueled by data and advanced analytics – faster and in a much more personalized fashion. While the codification of business logic into applications and processes with enterprise solutions such as ERP and CRM got us so far, Systems of Insight represent the next wave of value creation in business today. They enable leading organizations that are committed to a data-driven transformation to act on insight from data and do that at lightning speed, in the business moment. Systems of Insight fueling business process innovation and enable individuals to work the way they want and be more right, more often, helping to transform industries, professions and roles in the newly emerging Insight Economy. Organizations want: To put all of data to work Flexibility and choice Everywhere, anytime access
- #6 The world is changing, what do we as individuals see differently now? Expectations are increasing: At work and at home, we expect technology to deliver immediate access to the information we seek. As the lines between our personal and work lives blur, we’re expected to know more, understand more and do more. If the technology we use doesn't provide value immediately, we simply drop it and move on to the next thing. Make better decisions faster: We live and work at a relentless pace, and we’ve never been more connected to the people, brands and information that matter to us most. With the intense speed of business today, time—or more clearly, our “return on time”—has become a primary currency by which many measure value. Making better decisions rapidly is no longer a goal; it’s an imperative. We must shrink the time to informed action, which requires us to deliver more than just faster answers; it demands that we identify the right questions to ask. Do it yourself thinking: We’ve become a global society that practices independent investigation and pervasive learning. Have a question? Get an answer…quickly, simply, and on your own. The data is there, and so are the technologies that make it easy to identify, explore, verify and share that information. This freedom breeds creativity in how we approach problem-solving, even as it fuels expectations that we can consistently deliver fast, correct action.
- #7 We now find the characteristics we have come to expect in our daily lives should carry over into our job roles. However, there are obstacles preventing widespread adoption of analytics within businesses. Source: Analytics: The New Path to Value, a joint MIT Sloan Management Review and IBM Institute for Business Value study. Copyright © Massachusetts Institute of Technology Departmental experts and analysts are expected to drive better data-driven decisions, but lack the breadth of advanced skills needed for data management, building predictive models, and effectively communicating the correct conclusions. Self-service is increasingly becoming more important as business users are pressured and motivated to quickly find answers on their own. Making decisions rapidly is no longer a goal; it’s an imperative. Reducing the time to informed action requires a streamlined ability to draw compelling conclusions without reliance on too many people and the need to leverage multiple disparate tools. Self-service needs are increasing, and organizations are concerned about maintaining corporate data governance standards and security. The expectation of today’s workforce is that they can access and analyze their data anytime, anywhere. And then getting insights to decision-makers quickly is critical to delivering fast, correct action.
- #8 Even a simple analytics project has multiple steps and people. Projects require multiple steps in order facilitate and adhere to the policies or practices that are important to the business process. However its rarely straight forward and does not address the needs of rapid and agile data exploration and discovery.
- #9 Projects require multiple steps like accessing and obtaining data. Business units and individuals from IT and departmental analysts are needed to manage and prepare trusted and governed data sources. Providing this data to Analysts takes time and resources. Validation of this data is critical to avoid errors and poor decision making before the data is reviewed and approved for its original intent. If the data is wrong then the reporting will be wrong and decisions will be inadequate.
- #10 Introducing IBM Watson Analytics. We have arrived at a tipping point where the abundance of data, emergence of cloud, advances in analytics, new user experience design and business models mean data-driven decisions can now be an essential, daily and valuable activity for business people. No longer just for data scientists or IT -- marketing, sales, operations, finance and HR professionals can gain answers they need from all types of data. This requires a revolution in analytics technology, helping people acquire refined, trusted data, discover insights, predict outcomes, visualize results, create reports, and collaborate with others in a unified user experience that speaks the language of business. Watson Analytics is such a revolution - a revolution in the techniques themselves and a further revolution in the convergence of all these technologies together. The result will be widespread adoption of advanced analytics in the business world. IBM Watson Analytics delivers a unified analytics experience on the cloud and helps you focus on the drivers that matter most in your business. By automating the steps of data access and refinement, predictive analysis, and visual storytelling, Watson Analytics immediately identifies and explains hidden patterns and relationships to accelerate your understanding of why things happened and what's likely to happen. Because Watson Analytics features natural language dialogue, you can ask the right questions and get results in the familiar terms of your business. Just as the first spreadsheet made financial calculations easier for anyone with a PC, Watson Analytics opens up the world of advanced analytics to all business users on the cloud. Marketecture diagram: Think ahead Watson Analytics automatically does the hard math to show you the most relevant facts, patterns and relationships. See not only what is likely to happen but also what you can do about it. Make more informed decisions to move your business forward. Tell a story Watson Analytics shows you the most brilliant way to make your point. Quickly create clear and compelling infographics to get others on your side. Ask questions and receive answers in the language you use in your business. Understand your business Watson Analytics brings an engaging analytics experience in conversational terms you can understand. Whether you have a question to answer, an assumption to test or you are not sure what you want, Watson Analytics has you covered. Tell a clear, insightful story through rich data visualization. Get better data Watson Analytics helps you find and improve data sets with the touch of a button. You can get to work quickly instead of spending precious time cleaning up and preparing your data. Take advantage of automation — from data preparation to analysis.
- #11 Who is Watson Analytics for? Watson Analytics offers self-service capabilities to the full range of business users and experts alike: -Individual Business Users, like sales operations, marketing programs managers, financial analysts, or operations managers, who are looking to better understand the data relevant to their job roles; -Business Analysts, whose jobs are centered around processing information for the organization, and who want to go beyond measuring and start understanding, but don’t have ready access to advanced analysts such as data scientists, statisticians, data miners, or BI architects; and -Data Scientists themselves who can spend 40-80% of their time on data access and refinement. Watson Analytics can be an accelerator for them. -IT, who can deliver improvements in productivity to business users without having to support multiple solutions, ungoverned data sources, or rogue data analysis projects. What issue or opportunities does Watson Analytics address? The world and the way people work are changing: Departmental experts and analysts are expected to drive better data-driven decisions, but lack the breadth of advanced skills needed for data management, building predictive models, and effectively communicating the correct conclusions. Making quality decisions rapidly is no longer a goal; it’s an imperative. Reducing the time to informed action requires a streamlined ability to draw compelling conclusions without reliance on too many people and the need to leverage multiple disparate tools. Self-service is increasingly becoming more important as business users are pressured and motivated to quickly find answers on their own. Self-service needs are increasing, but IT is concerned about maintaining corporate data governance standards. The expectation of today’s workforce is that they can access and analyze their data anytime, anywhere. And then getting insights to all stakeholders quickly is critical to delivering fast, correct action.
- #12 Watson Analytics can be used for a wide variety of business use cases. Here are just a few examples such as: Finance Account Receivable Prioritization: Leverage Watson Analytics for collections. Organization can optimally determine their customers least likely to pay to most likely and prioritize their outreach and communication to align with their collections goals and objectives. By identifying the right customers to contact (and through which channel) organizations can improve operational efficiency and recover more money: a bottom line affect on income. HR Employee Retention: Provide insight into workforce and human resource issues. Human Resource analysts can uncover predictive factors driving employee attrition allowing you to intervene and take appropriate action. IT Help Desk Activity Analysis: Analyze the IT help desk tickets in your organization. See how long tickets have been open, what the average response time is, and understand what the key drivers are of high priority tickets to help determine how to allocate resources to resolve tickets faster. Marketing Lead Prioritization: Increase the quality of leads in your sales pipeline by discovering the driving factors of leads that resulted in successful sales. Target leads and prospects that will have a higher likelihood of becoming a sale to boost revenue and reduce costs by not spending time and resources on leads with little chance of becoming a sale. Customer Value Analysis: Customer growth improves overall profitability of the business and drives increased customer value and loyalty, delivering value-added products and services to an organization’s existing customer base. This is accomplished by first discovering the attributes that drive profitability, identifying what customers meet the identified profitable profiles, and then proactively providing those customers with highly targeted recommendations across all customer interaction channels to drive an increase in conversions and customer profitability Campaign Prediction and Planning: Improve effectiveness and efficiency in marketing departments by predicting which customers will respond to various campaigns. Predictive analytics provides value by increasing the quality of leads and the likelihood of response while reducing costs by efficiently targeting the customer through the right channel with the right offer at the right time. Operations Warranty Claims Analysis: Analyze returns and predict upcoming warranty costs and issues, as well as determine potential fraudulent warranty claims. Increase the effectiveness of claims and warranty departments by improving the bottom line, decreasing costs, and enhancing supplier relationships. Sales Win/Loss Prediction: Analyze your sales pipeline and predict with confidence which deals have the highest chance of closing and those you’re at risk of losing to allocate resources effectively. Anticipate performance gaps in your sales pipeline, analyze current conditions and alternatives, and then optimize outcomes for predictable sales performance. Customer Retention: Predict which customers will leave and present customers' level of risk. Watson Analytics provides value by increasing customer retention and increasing the effectiveness of customer retention programs by targeting those customers most at risk of leaving.
- #13 What are the features of Watson Analytics Self-service for Business Users Watson Analytics removes the reliance on DBAs, Statisticians, Report Authors or other specialists to do analysis. Its intuitive interface and unique automation of data access and refinement, advanced analytics and visual storytelling empowers business users to do more by themselves, like having a Data Scientist in a Box. Start anywhere, and let your curiosity take you wherever you want to go. Watson Analytics suggests where you might want to go next, progressively exposing you to additional capabilities you might want to leverage to gain a deeper understanding of your business. Differentiator Business users want a consumer-like experience to use analytics and data to pursue ideas, get answers to all types of questions, make predictions, and communicate compelling recommendations without needing help from anyone. However, they are hampered by the usability of analytics tools, access to data that can be trusted, and dependency on others – both IT to provide the infrastructure and data scientists to provide the analytical expertise. With Watson Analytics, data-driven decisions can now be an essential, daily and interesting activity for business people. Data Discovery Watson Analytics lets you visually explore and interact with your data to find the obvious patterns and derive useful insights. Guided Analytic Discovery Watson Analytics features the use of predictive analytics to surface the most relevant facts and uncover unforeseen patterns and relationships. This sparks the right questions to ask and directs your attention to the parts of their business that matter most. Differentiator Most discovery solutions expect you to decide what’s important in your data for further analysis. Watson Analytics lets you explore as well, but often business users aren’t sure what type of analysis would be the most meaningful. Watson Analytics automatically surfaces what matters most in your business. You can then use that insight to guide your analysis. Cloud-based Agility Watson Analytics is available anytime, anywhere on the cloud. Mobile-ready Watson Analytics is optimized for tablet devices for analysis on-the-go. Natural Language Dialogue Watson Analytics speaks the language of your business. Simply type in what you would like to see and Watson Analytics produces comprehensive results that explain why things happened and what's likely to happen, all in the familiar terms of your business. And as you interact with the results, you can continuously fine-tune your questions to get to the heart of the matter. Differentiator Other offerings expect you to adapt to the software – speaking in some form of programming language. Watson Analytics lets you carry on a natural, iterative dialog using the terms that are meaningful to your business.
- #14 What are the features of Watson Analytics Single analytics experience Watson Analytics brings together a complete set of self-service analytics capabilities on the cloud. You bring your problem, and Watson Analytics helps you acquire the data, cleanse it, discover insights, predict outcomes, visualize results, create reports or dashboards, and collaborate with others. Differentiator Unlike other offerings that make you decide what type of analytics you want to do, and then select separate tools to accomplish it, Watson Analytics is a seamless, unified experience that lets you go where your ideas take you. For example, you can move seamlessly from discovery to predictive analysis – without changing user interfaces or losing work. Fully automated intelligence Just bring your data, and Watson Analytics will do the rest. By automating all the steps of data preparation, predictive analytics, and visual storytelling, Watson Analytics jumpstarts your analysis and accelerates your time to value. It immediately starts you off with a visual story that illustrates what you need to know. Instead of fumbling over data or searching for answers, you can focus on understanding your business and effectively communicating results to stakeholders. Differentiator Most analytic offerings assume you have data ready for analysis, a clear idea of the type of analysis you want to do, and the skills and time to build a model for analysis. However, most business users have none of these things. Data prep and loading can represent 60% or more of the time in an analysis project. Business users can spend a lot of time figuring out what analysis would be relevant and how to tell the story in a report or diagram. Watson Analytics automates these steps to accelerate your ability to get to the answers you’re seeking. Data Access & Refinement Watson Analytics automatically shapes and joins data and then uniquely scores the readiness of your data for analysis, highlighting potential data issues that could compromise results....(access to data, data shaping, data quality/cleansing, data masking) Integrated Social Business Watson Analytics help you to quickly and securely build consensus around your data-driven analytical findings. Overcome analysis paralysis by collaborating with all stakeholders to share, discuss, combine and build the evidence necessary to move forward on decisions. Reporting & Dashboarding Watson Analytics takes the guesswork out of how to best show what's important in your data and automatically recommends the most effective visualization to convey the results you are looking for. With a few clicks, users can further alter chart types and data to fully customize the interactive reports and dashboards to meet the needs of the business. Visual Storytelling Watson Analytics helps users to quickly consolidate and annotate key visualizations into powerful infographics to elegantly and effectively convey results to stakeholders.
- #15 Learn more about IBM Watson Analytics at WatsonAnalytics.com. Visit the site to get started with Watson Analytics for free. Register to access Watson Analytics on the cloud. Watch demos and how to videos, read content and talk to our experts through our community forum. Four key takeaway points: Watson Analytics brings together a complete set of self-service analytics capabilities on the cloud. You bring your problem, and Watson Analytics helps you acquire the data, cleanse it, discover insights, predict outcomes, visualize results, create reports or dashboards, and collaborate with others. Just bring your data, and Watson Analytics will do the rest. By automating all the steps of data access and refinement, predictive analytics, and visual storytelling, Watson Analytics jumpstarts your analysis and accelerates your time to value. It immediately starts you off with a visual story that illustrates what you need to know. Instead of fumbling over data or searching for answers, you can focus on understanding your business and effectively communicating results to stakeholders. Watson Analytics speaks the language of your business. Simply type in what you would like to see and Watson Analytics produces comprehensive results that explain why things happened and what's likely to happen, all in the familiar terms of your business. And as you interact with the results, you can continuously fine-tune your questions to get to the heart of the matter. Watson Analytics features the use of predictive analytics to surface the most relevant facts and uncover unforeseen patterns and relationships. This sparks the right questions to ask and directs your attention to the parts of their business that matter most.