GIGO - Garbage in Garbage Out dictum is as old as analytics field itself, yet, the relentless focus on improving data quality is a recent phenomenon. As organizations develop a stronger data orientation, more important this topic is. Here is our approach to keeping data clean.

1. Data Services for Information Orchestration – An Overview
Info.blr@adiyanth.com
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+91 888 494 8072
madirajua

2. The Stated Goal for a Data Hub
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3. Typical Work Scope
Breadth
Inside Sales
MRP
EPG/CA Seg.
Owners
Response
Management
IMCs
Data Services
Enrichment
Preparation
Cleansing
Validation
CDS Tools, Processes & Methodologies
GSX
MS Sales
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Prospect
Database Store
EMMA

4. Standardized Transition Project Plan
Control
Implement
ETA: 31st Jul
Operate
Build
Initiate
ETA : 1st Jul
ETA: 30th Jun
ETA : 30th May
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ETA : Ongoing

5. Suggested Evaluation Criteria
Objectives
Measures
JIT Supplier Capability
a. Lead time from Request to Receipt as
measured by % SLA met
b. % deliverables delayed
c. % of requests delivered directly to BG’s
Achieve High Quality Supplier
Capability
a. Part-per-million or % of defects
b. % of FTE qualified to deliver without
management oversight
Achieve Supplier partnership
a. Number of FTE providing services
directly to requestor
Improve Process responsiveness
a. Cycle time
b. Process time
c. Process Efficiency (ratio of process time
to cycle time)
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6. Aditya Madiraju has a passion
for data and the strong
desire—as well as drive—to
help companies transform the
way they do their business —
”compete and win” on
analytics.
Aditya’s clients appreciate his
unique ability to identify &
triangulate their most
challenging business issues;
then design and implement a
foundational data driven
process to address them. His
achievements, includes
establishing a network of data
services in partnership with
marketing service centers and
the agency that fulfills the dayto-day marketing execution
and the long term analytical
needs of his clients. His
innovative solutions help
clients navigate the complex
and often confusing process of
planning and achieving return
on marketing investment.
Aditya held many data related
roles of varying responsibilities
at BFSI organizations , where,
he was on the front lines
instituting data-based
capabilities.
For more details reach out to:
Aditya Madiraju
aditya.madiraju@adiyanth.com
+91 997 163 3884
CONFIDENTIAL & LEGALLY PRIVILEGED

7. About Us
Adiyanth Analytics is being set up with a vision of supplying analytical capabilities to
organizations that would want to "compete and win" based on its Data-driven
Competitive Advantage. We intend to arm the clients with this capability through any
one of the 3 core approaches - Outsourcing, Data Solutions, Professional Services. We
focus on Information & Knowledge management services wishing to cater to market
segment that consists of :

organizations that have experienced growth for at least 5 years resulting in a unique
culture, brand recall, appreciation and market expectations being at their peak.

These organizations are now at cusp and are at risk of quickly slipping into “trough of
disillusionment”, or at best feared for, flattened slope of enlightenment from any
misstep.

They are addressing the 3 key challenges of Information Economy, viz., Availability,
Accessibility & Affordability of "knowledge for decision making"
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