Next generation Corporate BI Analytics
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Transcript of Next generation Corporate BI Analytics
Presented By:
Kapil MahajanSameeksha Sahai
& Raphel Shervon
NEXT GENERATION - ENTERPRISE BI ANALYTICS
03/05/2023 2
KONDA KAVUM FOR DESSERT..?
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Data Model Presentation Decision Forecasting
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Data Model Presentation Decision Forecasting
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Data Model Presentation Decision Forecasting
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Data Model Presentation Decision Forecasting
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Data Model Presentation Decision Forecasting
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Data Model Presentation Decision Forecasting
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EVOLUTION OF DATA
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 20200
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Data (ZetaBytes)
Source: IDC
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EVOLUTION OF DATA MODELLING
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EVOLUTION OF DATA VISUALIZATION
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EVOLUTION OF DATA VISUALIZATION
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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
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DELIVERY APPROACHES FOR
ENTERPRISE BI ANALYTICS Category Approach Managed by Ownership Scope for
business usersGovernance
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 layerBusiness: reports
Corporate BI Top – Down IT IT Execution of Reports
IT
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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
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SCALING
AGILITY
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BANKING CASE STUDY
Self Service BI Example - demo
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IMPACT ON CLIENT: Client can reach to many subscribers by sending limited number of campaigns
SOCIAL NETWORKING ANALYTICSSocial 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
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NEXT GENERATION- BI ANALYTICS
Corporate BI Example - demo
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DATA IS LIKE A BIKINI!What it reveal is suggestive, but what it conceals is vital.
"Analytics can reveal everything" Do It Yourself (DIY)
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