Aravind Gottapu Jerry Timko Embracing Lumira Session #3566
AGENDA Choosing Lumira @ Cardinal Health What went wrong Data Discovery vs Traditional BI Why is this the right time to have strong business case Business case SAP vs Tableau When to Choose SAP Lumira When to Choose Tableau Enterprise View Business View Where does SAP stand in big picture Tools used @ Cardinal For Business Case Return on Investment Best Practices Key Learnings References
Choosing Lumira @ Cardinal Health It s a uphill battle Tableau is already established with their Land and Expand model Business has accustomed to existing BI tools Tableau and Power BI Business assumption of Data Discovery tools can solve all their BI needs
What went wrong Why is it important to have strong business case Did not address business problems at right time Gave them the wrong tools, which demanded users to look for options outside IT Data Discovery vs Traditional BI Did not pay attention to the new tools cropping into the company SAP has entered late in the game Inconsistent naming from SAP (Visual Intelligence to Lumira) SAP's simplified pricing and licensing model, which was introduced during September 2014, is still early in its roll out and has not yet had a positive effect Understand the fact that Data Discovery is whole new beast, it has to be tamed at the right time with the right tool
Data Discovery vs Traditional BI Data Discovery: A speedy way to analyze data with a short shelf life Not ideal for solving ongoing issues or improving business strategies. Great for answering one-off questions quickly Best for tactical analysis Ideal for small teams Traditional BI: Looks at longer time frames (historical, current, and future) Scalability can grow with your company and with volume of data A broader, deeper view into business processes and strategies Best for predictive and operational analysis Anyone can manage and report data Can handle complex organizations
Business Case Tableau and SAP Tableau Tableaus intuitive, visual-based data discovery capabilities have transformed business users' expectations Because of the company's successful "land and expand" strategy many of the clients are seeing Tableau usage expand in their organizations Solely concentrated on Data Discovery SAP SAP delivers a broad range of BI and analytic capabilities For large IT-managed enterprise BI deployments with the SAP BusinessObjects BI platform For decentralized data discovery deployments with SAP Lumira. This is complemented with the SAP Hana in-memory data platform. Companies often choose SAP as their enterprise BI standard, particularly if they also standardize on SAP for ERP applications.
When to choose SAP Lumira If you don t need Data Silos Self-service analytic environments that don t talk to traditional BI will end up creating one more silo of information. In Healthcare using analytical tool which creates data silos violates HIPAA and many other regulations. If your standard BI is SAP, SAP Lumira can automatically fill the data exploration and selfservice gap. Easy integration between SAP ecosystems ensures you don t have a two tier data problem. Considering Enterprise View Viral adoption and desktop analytics can only take you so far Raw server horsepower to run mission critical analytics in real-time. An easy, safe, and secure way to build and share things SAP Lumira makes a near seamless jump from being an enthusiast s pretty graphing tool to a really serious enterprise BI tool in seconds. Two separate analytic camps, Single source of truth vs Data Silos raises fight to control data, anarchy. SAP Lumira has been deliberately designed to avoid this issue.
When to choose Tableau Need for feature rich Visualization Ability to use custom maps A single GPS point could have multiple dimensions displayed (gender, age, marital status, ) Very easy to customize the layout and information displayed The visualizations can be integrated into a dashboard and linked to each other When trying to solve decentralized business solution quickly When Governance is not a concern Solutions for business < 25 Users No Data Security required Underlying data not available in traditional Dataware House Data Governance is at risk Multiple copies of the data Desktop Only No web based creation / editing Data Latency Static Snapshot Not for the enterprise SOX Compliance
Enterprise View SAP TABLEAU Delivers a broad range of BI and analytic capabilities Can use existing Universes to build Lumira dashboards Can integrate with BI security Can live on HANA or BO BI Platforms Data is always in one place adhers to single version of truth Publishes a dataset as a new Information Model to SAP HANA With SAP s Predictive Analytics which synchs directly to Lumira,this is the best time to adopt the tool Have to rely on other vendors for other BI solutions. Cannot leverage existing BI objects Redo the security New hardware is needed Data is all over, data silos cannot be avoided with Tableau Cannot publish dataset back to HANA Does not support Predictive Algorithms
BUSINESS USER VIEW Tableau s intuitive, visual-based data discovery capabilities have transformed business users' expectations They can discover in data and share without extensive skills or training with a BI platform No IT intervention Already 60% of business users adopted to Tableau
WHERE DOES SAP STAND IN BIG PICTURE (Gartner's Chart for 2015)
Tools used @ Cardinal For Business Case At Cardinal we created a buyers guide with Pros and Cons of most of the leading Data Discovery tools Included cost per implementation for each tool Created a 10 point questionnaire to answer, it s a small application which covers questions from 3 different areas Tool features Enterprise View / cost Long term vision Showcase how Lumira fits into Predictive Analytics road map for the company Gartner s Chart
RETURN ON INVESTMENT Choosing the right tool at the right time will save 1000s of dollars Its very difficult to provide Enterprise vision for a tool when 60% of business has already started using it Having multiple vendors for BI needs and Data Discovery needs will charge company twice in licensing Having the right tool will eliminate silo databases and shadow IT You spend thrice the time if we start looking at the Data Discovery tools after the fact. Fits into Predictive Analytics road map
BEST PRACTICES Do not guess ask the right questions Always address business problems Compliment the decision with proper training videos and workshops Leverage SAP services in promoting the tool Stay Informed - Always pay attention to the new vendors talking to business directly Two separate analytic camps, Single source of truth vs Data Silos raises fight to control data, anarchy. SAP Lumira has been deliberately designed to avoid this issue. Always use the Database processing power vs reporting tools
KEY LEARNINGS How to build a business case Importance of paying attention to business Why is it important to choose Lumira now Predictive Analytics synchs with SAP s BusinessObjects suite and, in particular, Lumira
References http://www.gartner.com/technology/reprints.do?id =1-2ACLP1P&ct=150220&st=sb
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SESSION CODE 3566