Convergytics - One of the fastest growing analytics companies in Asia (as per UK based Global Brands Magazine) talks about its BI & Reporting Capabilities and presents some sample work.

1. BI Capabilities
Boldly redefine the possibilities of using data to drive business actions & exceed client expectations
ANALYZE data!! SOCIALIZE insights & learnings!! MONETIZE business actions!

2. Convergytics – Company Profile
Mission
Closed loop
engagements to tie
Creation, Consumption
and Correction
Innovation
• Proprietary frameworks in Data Management,
MMX Modeling, Brand Equity & Social Media
• MMX, Pricing and Attribution products / tools
that enable superior analytics consumption
• Proprietary unstructured data classification &
sentiment analysis algorithm
Vision
Transform BI and
Analytics from a
cost function to a
profit function
Achievements
• Recognized as “Asia’s Fastest Growing Analytics
Company” by Global Brands Magazine
• Rated 1st of 8 vendors in an MMX pilot for
leading Fortune 50 Technology Company
• Acquired 12 clients in Media, Retail, Hi-Tech
and CPG in last 18 months
• Preferred analytics vendor for a leading media
agency that is part of leading Media
Conglomerate

3. Convergytics – BI & Analytics Capabilities
Business
Intelligence
• Data Ingestion,
Quality & ETL
• Dashboards,
Reports & OLAP
• Insights &
Recommendations
• Market Mix
Modeling
• Brand Equity
Analysis
• Survey Analytics
Marketing
CRM
• Digital, Mobile
and Offline CRM
• Campaign Design
& Measurement
• Customer
modeling &
Segmentation
• Site Analytics
• Online Attribution
• Digital Spend
Optimization
• Email, Banner,
Affiliate & Social
Media Analytics
Web and
Social Media

4. Business Intelligence

5. Key Trends & Challenges in BI
Big Data, low consumption & lack of insights key challenges
• Increasing data volume due to
social & Internet of Things
• Increased demand for BI &
Analytics from business
• Democratized data and
business friendly tools
• Increased mobile and social
features in most BI tools
• Combine data from multiple
domains to make holistic
decisions
• Solutions / vendors grappling
with big-data
• Lack of end-to-end data
management & BI solutions that
can be deployed quickly
• Poor consumption of existing
reports & dashboards
• Disconnect between the
language spoken by analysts
and the business
• Focus on look & feel / KPIs as
against insights & biz. Actions
TRENDS CHALLENGES

6. What we do?
Data Management & Reporting Capabilities
1 Data Management
• Create & maintain
OLAP, OLTP, data-marts
& data warehouses
• Setup and maintain
Big Data / Hadoop
Clusters
• Extractors & APIs for
data sources: SAP,
Oracle, SQL Server,
Social Media, CSV, XML
and many other
custom extractors
2 Transform, Clean, Load
• Extract, collect &
profile information
using tools such as SAS
DI, Ab-Initio,
Informatica, IBM
Datastage & MSBI
• Harmonize & cleanse
data for integrity
• Enrich, format &
reconcile data to align
with business rules &
applications
3
Reporting &
Dashboards
• Automation of
standard reports from
relevant business tools
• Creation of reports
using Excel, Tableau,
Qlikview, Excel & others
• Creation of
dashboards & reports
related to CRM,
marketing, online,
pricing & supply-chain

7. API Flat Files
Reports
Client
Data
Stores
XML
Social
Feeds
Data Sources
Hadoop / Big Data Framework
Enterprise
Data Warehouse
StageIngest
Cubes
APIs
ReportsConsumers
Data Warehouse
ETLMaster
Data
Ingest
• Load unmodified
structured and
unstructured data
Validate/ Stage
• Data-quality against
known business rules
• Apply correct and
optimized Data Types
Transform
• Process Data into
dimensional model
• Identify changes
• Overwrite / Preserve
History
Load
• Identify Deltas
• Apply Changes
Data Management Framework

8. Dashboards and ad-hoc reports
Meet the needs of business & data/analytics teams
Who uses them?
• Those interested in a single view of business.
• Executives, Business Teams
How many users?
• Large number of users across enterprise.
What do they do?
• View pre-defined, graphical dashboards &
reports
• View multiple graphs & charts in one place
for quick understanding
• Filter data by key time periods & sub-groups
• Access specialized views by role
Who uses them?
• Those interested in interactive reporting &
determining key insights
• Data and Business Analysts, Analytics Team
How many users?
• Limited number of users within an
organization
What do they do?
• Drill-down into the data for further insights
• Create cross-tabulations quickly and easily
• Design new reports & filters and save for
later use
• Export charts & graphs into common office
software
Standard Reports / Dashboards Ad-hoc Reports / Tools

9. Why Us?
Success Stories with some of our clients
Took over MSBI
Development from
existing vendor and
lowered execution
time by 87% for a
leading CRM agency
Helped a Publicis
Groupe agency take on
40% more Reporting &
BI projects from their
clients at the same cost
& improved quality
Integrated social data
into existing data-mart
using advanced data
fusion techniques for a
leading 2nd Hand
Bookstore Chain
Helped a boutique
brand consulting
agency offshore their
BI & Analytics and
delivered a 25%
increase in
engagement
Automated 50+
campaign
measurement reports
saving significant time
& costs for a leading
US based finance
company

10. Sample Dashboards
& Visualizations

11. Social Media Dashboard – Brand Sentiment Dashboard
Used Text Mining & Qlikview to compare social activity and sentiment across brands

12. Procurement Dashboard
Built Qlikview dashboard to enable Procurement Manager to identify trends & anomalies

13. Tableau Dashboards – Understanding Web Behavior
Uses GA / Omniture Site-catalyst data & shows key site performance metrics

14.  Project Objective: Generate a executive dashboard using Tableau for a leading Stock Broking Firm in India that helps them understand
the social chatter around their brand, categorize the chatter and break it down into sentiments
 Solution: Used proprietary extractors to pull data from a range of social media sites & blogs; After cleansing the data, we categorized the
chatter into relevant topics, conducted a graded sentiment analysis around the brand to arrive at a sentiment score and came up with a
comprehensive framework to measure and track brand equity using social chatter
Tableau – Social Data Analysis Dashboard
Social Chatter: Topics, sentiment & demographics for a leading stock-broking firm

15. Tableau Dashboards – Sales Opportunities Analysis
Uses CRM Data & Impressions/Clicks/CPC data to identify opportunity segments

16. Tableau Dashboards – Support Events Analysis
Uses Chat & Support SLAs data to understand the support requests & trends