‚ÄčProgram Management

DEFINE CRITICAL SUCCESS FACTORS

Defining how success looks like for the users and key performance (KPI) indicators of the organization is a fundamental step to measuring value and return on investment(ROI) of  analytics programs.

KEY ELEMENTS OF OUR APPROACH

Delivery-Project Management

FOSTER TOP DOWN APPROACH

Not just sponsorship but championship driven from senior leadership of the organization is key to success of Analytics initiatives-be it strategy, road maps, product selection, big data, visualization, traditional data warehousing or business intelligence.

BUILD VALUE INCREMENTALLY

Whether the project management methodology is agile or waterfall or a hybrid of both, it is essential to demonstrate value quickly and frequently. We recommend techniques that produce measurable results.

CREATE DETAILED WORK PLAN

Creating a detailed work plan for every project stage is required to meet schedule, manage budget, measure by critical success factors, communicate to stakeholders, and manage  scope-risk-change.

DEFINE BUSINESS CASE

Whether the  goal of analytics initiatives is to improve operational  efficiency, sharpen pricing strategy, enhance customer engagement, detect fraud, or launch disruptive innovation, the success is based on a clear business case definition on how analytics can help.

EVALUATE DATA REQUIREMENTS

It is critical to conduct an assessment of structured, semi-structured, unstructured data, the business needs of data analysis, real-time requirements, processing volume, storage, and visualization factors.

RUN A PILOT, BUILD A PROTOTYPE

A well defined and managed proof of concept has multiple productive outcomes- reinforced confidence for executives and stakeholders in the investment, tool stack, project approach, quick wins, lessons learned, and commitment to incrementally apply across the enterprise.