Data Hub Adiyanth Analytics Approach

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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.

Transcript of Data Hub Adiyanth Analytics Approach

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CONFIDENTIAL & LEGALLY PRIVILEGED

Data Services for Information Orchestration – An Overview

+91 888 494 [email protected] madirajua

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The Stated Goal for a Data Hub

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Typical Work Scope

Breadth Inside Sales MRPEPG/CA Seg.

OwnersIMCs

Data Services

Response Management

GSX MS SalesProspect

Database StoreEMMA

Enrichment CleansingPreparation Validation

CDS Tools, Processes & Methodologies

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Standardized Transition Project Plan

InitiateETA : 30th May

BuildETA: 30th Jun

OperateETA : 1st Jul

ImplementETA: 31st Jul

ControlETA : Ongoing

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Suggested Evaluation Criteria

Objectives Measures

JIT Supplier Capability a. Lead time from Request to Receipt as measured by % SLA met

b. % deliverables delayedc. % of requests delivered directly to BG’s

Achieve High Quality SupplierCapability

a. Part-per-million or % of defectsb. % 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 timeb. Process timec. Process Efficiency (ratio of process time

to cycle time)

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CONFIDENTIAL & LEGALLY PRIVILEGED

For more details reach out to:

Aditya Madiraju

[email protected]

+91 997 163 3884

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 day-to-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.

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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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