IBM Watson Analytics

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1 IBM Watson Analytics

2 Technology has changed expectations Our work and personal lives have blurred It s an always-on world A Do-It-Yourself mentality prevails 2

3 Leveraging analytics still faces many obstacles 38% have a limited understanding of how to use analytics 80% of the time is spend on data preparation 24% find it difficult to get data Self-service analytics and expectations to drive better data-driven decisions are rising Making decisions rapidly is no longer a goal; it s an imperative Access to required data sources is critical while maintaining governance standards 3 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

4 Even a simple analytics project has multiple steps and people Business Analysts Reporting Data Access Data Preparation IT Business Users Collaboration Validation Analysis Data Scientists and Statisticians 4

5 And it s rarely a straightforward process Data Access Business Analysts Reporting Data Preparation IT Validation Collaboration Business Users Analysis Data Scientists and Statisticians 5

6 IBM Watson Analytics Put analytics in the hands of a broad range of users Make data access and refinement easier Deliver through the cloud for agility and speed Understand Your Business Automated intelligence accelerates your ability to answer questions Mobile Ready Secure Tell a Story Visualizations support your decisions and communicate results Think Ahead Get Better Data Predictive analytics reveals insights and opportunities Embedded information services provide data access and refinement 6

7 IBM Watson Analytics Self-sufficient analytics for business users and experts alike Business Users Business Analysts Data Scientists IT 7

8 Analytics can make a difference in many ways Marketing Sales Finance IT Operations HR Campaign Planning and ROI Customer Retention Prioritizing Accounts Receivable Helpdesk Case Analysis Warranty Analysis Identifying and Retaining Key Employees 8

9 IBM Watson Analytics Quick start intuitive interface Key business driver insights Dashboard and storytelling authoring Easy data upload and search capabilities Natural language dialogue 9

10 IBM Watson Analytics - Explore Automatically provides new insights about your data Ask mew questions about your data using natural language Select and dive deeper into explorations 10

11 IBM Watson Analytics - Explore Share images with your peers, or it to your team Ask questions about your data using natural language Click on the new insights provided by Watson Analytics and explore the results Add in data points and see things differently using the visualization menu, data filters, color pallets and more 11

12 IBM Watson Analytics - Predict Pin your results for use in dashboards and storytelling Additional insights discovered for you Automated data visualizations Identified predictors of your target analysis 12

13 IBM Watson Analytics - Predict Pinning for dashboard and storytelling Additional tabs for further predictive insights Top decision rule determined for highest percentage of Wins 13

14 IBM Watson Analytics Assemble Create dashboards and infographics from your pinned objects Include graphics, corporate logos and more to personalize your view Select from a wide array of templates and color schemes 14

15 IBM Watson Analytics Be Brilliant! Single Analytics Experience Fully Automated Intelligence Natural Language Dialogue Guided Analytic Discovery Visit WatsonAnalytics.com and get started for free 15

16 Cognitive technology - Applying IBM Watson capabilities to business analytics Watson Watson Analytics A platform of cognitive capabilities used to build new cognitive applications Creates a new partnership between people and computers Ability to enhance, scale and accelerate human expertise Unstructured data based on vast amounts of information Focused on deep NLP to understand the connections, associations and relations within vast amounts of unstructured information Trained by interrogators on specific domain content knowledge An application built from and contributing to the Watson ecosystem A unified, self-sufficient analytics platform of services for business users Ability to automate powerful analytics and accelerate human analysis and deeper insights in data Focused on determining the analytic or predictive relationships in structured data from both internal and external perspectives of your business Understands the language of analytics and the type of analysis that the user needs to perform Common traits Watson Explorer indexing data for search Natural language processing for speech and dictionary services Hypothesis generation- for data understanding and confidence levels Data visualization for illustrating insights, derived from RAVE 16

17 Learn more at WatsonAnalytics.com 17

18 Demonstration 18

19 Legal Disclaimer o IBM Corporation 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. 19

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