1. Introducing COGNOS ANALYTICS 11
Introducing COGNOS ANALYTICS November 8th Michael Peter Offering Manager BA Ecosystem Growth and Strategy
IBM Business Analytics

2. Factors shaping the future
IBM Analytics © 2014 IBM Corporation
Factors shaping the future
Self Service for business users to create personalized content using corporate and personal data
Ease of use to allow users to efficiently achieve their goals
Governance for performance, security and scalability
Operationalize user created assets

3. Data modules & ad hoc reports
Static
reports
Interactive
reports
This slide describes how we see the user community today. There is still a large portion of the overall number who are consumers who will run daily reports and consume dashboards and stories. However, there is also a growing number of Data Explorers who want to be empowered to do more….perform their own data exploration and create ad-hoc dashboards and reports.
Of course, there are also still that portion of the community who will be focused on the more technical aspects like professional reporting, data modeling, etc. Lastly there is a small but growing Data Scientist community that is starting to evolve.
Personalized
reports
Data Consumers 60%
Dashboards &
Stories
Casual Users
Power Users
Data Explorers 30%
Data modules & ad hoc reports
Data Analysts 8%
Data model &
professional reports
Data Scientists 2%
Source Eckerson Group 2017

4. e.g. Statements of strategy, competitive standing, etc.
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IBM’s statements regarding its 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, I/O configuration, storage configuration and workload processed. Therefore, no assurance can be given that and individual user will achieve results similar to those stated.
A quick disclaimer presented to acknowledge that the materials and discussions presented should not influence current purchasing decisions.
MAKE SURE TO:
Emphasize that these are our plans as of today and these plans can change.
Emphasize that some of the screenshots are design mock-ups and the final product might look different than this.
“unmarked”
CONFIDENTIAL
e.g. Statements of strategy, competitive standing, etc.
e.g. promotional material and content you will find in other public documents
Features under development for possible future release; confidential until announced

5. Six Key Investment Areas1 2 3
Learning (machine learning and deep learning) is under the covers /underpinning most of our areas of investment. For example - smarts to understand user behavior and preferences in how they like to do analytics – eg. Generating visualizations, stories, and dashboards - automatically guide the user. Data prep, modeling and content creation can also make use of machine learning.
Six key area of investment that we are pursuing to enable it are:
Smarts/Learning – eg. more immersive user experiences, automatic insights, less biased discovery, more advanced analytics techniques, invest in context and learning, NLP/NLG enhancements, understanding domains and recommending data sources
Ease of Use – We are continuing to put a lot of focus on ease of use. The experience we are building will be a guided process that will help users create content, explore and visualize data and be able to easily identify relevant data and insights that perhaps weren’t obvious at the start.
Data Exploration - We are continuing to build out our data exploration capabilities. In the coming slides, you’ll see a sneak peak of a new exploration interface that will incorporate some of the algorithms and smarts that are currently available in Watson Analytics and that will really provide a best in class data exploration and discovery experience.
Data prep and modeling – Many of our users still spend too much time on the modelling and data preparation phase. Our goal is to make this step as intuitive and as “smart” as possible so that users can spend less time modeling and preparing their data and quickly get into the data exploration and content creation phase, which is really what they want to be doing.
Collaboration – eg. work with 3rd party tools, annotate options, workflow, automatically bring insights based on context
Ecosystem – integration of IBM products, theming/branding of the product and content, embedability, extensibility, digital, storybooks and business workbooks, lead with offering (domain smarts…
Smarts
Ease of Use
Data Exploration 4 6 5
Data Prep & Modelling
Collaboration
Ecosystem
Learning
CONFIDENTIAL

6. Personalized analytics that learns and adapts to the individual user
User-driven narrative with natural language
Remove technical barriers
Remove bias
Automate analysis (work faster)
Contextual recommendations
Smarts

7. A flexible workspace where users can explore their data, or explore an existing asset in a Dashboard or Report
Low barrier to entry: make it easy for any user to get started exploring
Surface advanced analytics insights in a subtle way, so as not to overwhelm the user
Provide contextual recommendations
Exploration

8. Ease of Use / Dashboards
Users have flexibility to quickly assemble very attractive dashboards.
Users can build from existing assets without having to start from scratch.
Meaningful visualizations are automatically generated with little authoring experience needed.
Customized look and feel can be achieved and reused. Corporate standards can also be easily followed.
Highly interactive and performant visualizations
Ease of Use
/ Dashboards

9. Users can quickly assemble a report using existing assets without having to start from scratch.
Meaningful visualizations are automatically generated with little authoring experience needed.
Customized look and feel can be achieved and reused. Corporate standards can also be easily followed.
Highly interactive and performant visualizations
Ease of Use
/ Reporting

10. Data modules Ease of use yet powerful when needed
Graduated Experience – business analysts to experienced modelers
Files to insights experience
Data Prep in the experience
Data blending & Set operations
Relative Dates
Multi-grain Analysis
Security by Value
Data modules

11. 5 Collaboration IBM Analytics © 2014 IBM Corporation
Integrate with third party collaboration platforms (ex. Slack, Microsoft Teams, etc.)
Share insights in context
Messaging & discussion
Share assets (dashboard, report, story or individual visualization) as an image
Follow assets and other people
Tailor notifications to personal needs
Leverage smarts to suggest new content and users to follow
Collaboration is another area where we will be investing. In many cases, there are multiple people or a team working together on a business problem or project. Instead of trying to build a new messaging or chat platform, we envision integrating with existing platforms that customers are already using in their organizations. You can see on the screen here a chat and messaging panel where users would be able to drag and drop into the chat to share content.
We see allowing users to communicate in real time to share ideas and feedback on content they are creating as well as allowing them to annotate content to support teams that are spread across time zones or for historical tracking purposes.
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CONFIDENTIAL

12. Building Community | Always-on
IBM Big Data & Analytics © 2013 IBM Corporation
Building Community | Always-on N
New!
Launch of new online Community and embedded link in product
Collaborative effort across IBM functions
Access how to videos, product information, contact support etc.
Interact with other users
Consistent experience across Watson Analytics, Planning Analytics, Cognos Analytics
Product specific Groups
How-to Videos
Expert Blogs
Discussion Forums
Self-service Support
Event Calendar