Next generation Corporate BI Analytics
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Kapil Mahajan, Sameeksha Sahai, and Raphel Shervon presented on next generation enterprise business intelligence analytics. Their presentation discussed the evolution of data in terms of volume and modeling, as well as data visualization approaches. They also reviewed different delivery approaches for enterprise BI analytics, including corporate BI, IT-managed self-service, and business-led self-service. The presentation concluded with examples of different delivery approaches using case studies in banking and social networking.
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Next generation Corporate BI Analytics
- 1. Presented By: Kapil Mahajan Sameeksha Sahai & Raphel Shervon NEXT GENERATION - ENTERPRISE BI ANALYTICS
- 2. KONDA KAVUM FOR DESSERT..? 12/11/2016 2
- 3. 12/11/2016 3Next Generation BI Analytics
- 4. 12/11/2016 4Next Generation BI Analytics
- 5. 12/11/2016 5Next Generation BI Analytics
- 6. 12/11/2016 6 Data Model Presentation Decision Forecasting Next Generation BI Analytics
- 7. Data Model Presentation Decision Forecasting 12/11/2016 7Next Generation BI Analytics
- 8. Data Model Presentation Decision Forecasting 12/11/2016 8Next Generation BI Analytics
- 9. 12/11/2016 9 Data Model Presentation Decision Forecasting Next Generation BI Analytics
- 10. 12/11/2016 10 Data Model Presentation Decision Forecasting Next Generation BI Analytics
- 11. 12/11/2016 11 Data Model Presentation Decision Forecasting Next Generation BI Analytics
- 12. 12/11/2016 12 EVOLUTION OF DATA 0 5 10 15 20 25 30 35 40 45 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 Data (ZetaBytes) Next Generation BI Analytics Source: IDC
- 13. EVOLUTION OF DATA MODELLING 12/11/2016 13Next Generation BI Analytics
- 14. EVOLUTION OF DATA VISUALIZATION 12/11/2016 14Next Generation BI Analytics
- 15. EVOLUTION OF DATA VISUALIZATION 12/11/2016 15Next Generation BI Analytics
- 16. 12/11/2016 Next Generation BI Analytics 16 DELIVERY APPROACHES FOR ENTERPRISE BI ANALYTICS Corporate BI IT Managed - Self Service Business Led Utilization of reports and dashboards published by IT for business users to consume A “managed” approach wherein reporting utilizes only predefined/governed data sources Utilization of reports and dashboards published by IT for business users to consume
- 17. DELIVERY APPROACHES FOR ENTERPRISE BI ANALYTICS 12/11/2016 Next Generation BI Analytics 17 Category Approach Managed by Ownership Scope for business users Governance Business led Self Service BI Bottom – Up Business All elements are supported by business Data preparation, data modeling, report creation & execution Business IT Managed Self Service BI Blended Approach IT IT : Data+ semantic layer Business : Reports Creation of reports and dashboards IT: data + semantic layer Business: reports Corporate BI Top – Down IT IT Execution of Reports IT
- 18. 12/11/2016 Next Generation BI Analytics 18 ALIGNING WITH AGILE MANIFESTO Embrace change - Reporting requirements are dynamic, tools should be simple for end user to develop Deliver working reports regularly – All three types of delivery models should be aligned so that new and meaningful insights are generated regularly Strive for iterations – The process from source data to visualization should be iterative. Test throughout the lifecycle – Testing becomes very critical when business does their own reporting. IT should pass testing practices to business and they should run through out the process from data to visualization Getting the architecture correct by experimenting all suitable options through POC
- 19. 12/11/2016 Next Generation Enterprise BI Analytics 19 S C A L I N G A G I L I T Y
- 20. BANKING CASE STUDY 12/11/2016 20Next Generation BI Analytics Self Service BI Example - demo
- 21. 4 4 4 3 5 5 4 3 5 4 4 4 3 4 3 5 3 4 3 3 5 4 IMPACT ON CLIENT: Client can reach to many subscribers by sending limited number of campaigns 12/11/2016 21Next Generation BI Analytics SOCIAL NETWORKING ANALYTICS Social networking analysis can be performed based-on degree of centrality SNA using Degree of Centrality Step 1: Find out the number of direct ties to the other people in the network for subscribers with high churn probability Step 2: In order to spread retention campaign to as many subscribers, we will find out subscribers having higher degree of centrality. Assuming, if a subscriber with high degree of centrality is churned then probability of its peer group getting churn is high Step 3: Send campaigns to the target subscribers (found in step 2) Degree of Centrality IT Managed Self Service BI Example - demo
- 22. NEXT GENERATION- BI ANALYTICS 12/11/2016 22Next Generation BI Analytics Corporate BI Example - demo
- 23. 12/11/2016 23Next Generation BI Analytics DATA IS LIKE A BIKINI! What it reveal is suggestive, but what it conceals is vital. "Analytics can reveal everything" Do It Yourself (DIY)
- 24. 12/11/2016 24Next Generation BI Analytics
Editor's Notes
- Good afternoon . Hope you had a good lunch. So can I have a loud Good afternoon. Would you like to have another one I am here to demonstrate how to prepare Konda Kavum. So we will take a bowl of rice flour, a bowl of wheat flour, water and brown sugar and mix it. So here is the Konda kavum. So I am not going to fry it but give you as it is. So who like to have. Why don’t I offer you something prepared by professional chef with evenly cooked and presented in a nice manner. How many of you would like to have the cooked one instead of the earlier one So what impacts your decision. It is the presentation or the process or both. So my topic for today which is analytics is similar to cooking.
- Good afternoon . Hope you had a good lunch. So can I have a loud Good afternoon. Would you like to have another one I am here to demonstrate how to prepare Konda Kavum. So we will take a bowl of rice flour, a bowl of wheat flour, water and brown sugar and mix it. So here is the Konda kavum. So I am not going to fry it but give you as it is. So who like to have. Why don’t I offer you something prepared by professional chef with evenly cooked and presented in a nice manner. How many of you would like to have the cooked one instead of the earlier one So what impacts your decision. It is the presentation or the process or both. So my topic for today which is analytics is similar to cooking.
- Analytics is about helping taking a better decision. So I prepared this dashboard for a hospital head to find patient satisfaction. Similar to my dish I put a lot of effort to prepare this dashboard. I have taken a lot of data of places and combined them to come to this visual. Doesn’t it look wow?
- Do you think it would be helpful in taking a good decision Is it a self explanatory dashboard
- So I just want to emphasize the importance of Data Visualization is taking a better decision.
- Let me take you through a step by step process for Analytics
- Data is most important part of taking any decision. If data is not correct then even the best modeler cannot help you in creating a good Dashboard
- If modeling is not done the proper way the outcome may not be relevant.
- Presentation of any dashboard is vital to take any decision. If your dashboard is not simple and not fulfilling audience requirements then the whole effort to prepare the one is gone in vain.
- Taking the right decision is definitely important and should be based on the process rather than the gut feeling.
- Forecasting based on historical data is a crucial part of analytics and now a days we are actually using a lot of statistical techniques to forecast better.
- Why are we talking about analytics now a days. Because Analytics is top priority of CIOs now a days. According to IDC data would be 40 zetabytes by 2020. Data is unstructured rather than structured. The Mico SD cards storage is increasing as so in Hard disk Big data includes CRM, ERP, WEB, GPS etc.
- Who does Data modelling Earlier only Data modelers were doing it but now with the advent of self service BI tools like PowerBI it is being done by end user. However as our wife/ mom cook food in home but when we need to eat something special we go to a restaurant to get it prepared from professional chef so when there are complexities then experts like us come into picture.
- Earlier the end user used to give the requirement and it role was to prepare the report, govern the data etc. But now a days using self service BI tools business user create their own reports and IT role is limited to governance and enabling business users to create their own dashbaords
- Integration of Sources Creating Dashboards Forecasting Sharing Q&A
- Lets see what is this. So everyone of use have friends on Social Media some have more and some less. Lets say I have 50 friends and you have 10 friends so my Degree of centrality of circle of influence is more than you. The assumption we have taken here is that no of connections = no of influencers. So in order to make the campaign effective we need to target people having more friends. So if we are able to retain him his friends would automatically be retained.
- Next generation BI analytics is about governed self-service BI. Now a days if you imagine a visual in you head and you want to create it you need to go to expert for that. These are some of the visuals we created in PowerBI. The next generation is that these would be created by you. http://www.nytimes.com/interactive/2012/02/13/us/politics/2013-budget-proposal-graphic.html?_r=0