Information Experience Map

The right way to revolutionize your decision making with analytics

As the world economy moves from manual laborers to information workers, organizations are faced with thousands of decisions to be made each day. While many have their processes mapped out for the manual work, very few have done the same for their decisions. Lacking clear vision and guidance in data usage, mission critical decisions at the board or department level are made with questionable data often put together in moments notice. Without an end-to-end framework, employees choose whether they use analytics or not, data is collected and prioritized without proper reasoning, and most decisions are not standardized, putting the organization’s future at individuals’ whims.

With our unique Gearshifter “Information Experience Map”, we help organizations become truly data-driven and reform their decision making with analytics. We identify key “decisions to be made”, translate them into “questions to be answered” and map them to “models to be built” and “data to be gathered”. This process structures decision making, aligns data strategy with business needs and identifies areas where decisions can be automated.

Infuse analytics into every decision

presenting the right data the right way for every question to be answered

Close gaps in data sources

identifying and prioritizing those required for mission critical decisions

Minimize judgement errors

moving from gut-felt to fact-based decisions across the business

Smarten up robotics

making decision automation possible by mapping decision drivers to data

“Information Experience Map” is a set of diagrams mapping decisions, questions, models and data elements, prepared with an interactive toolkit.
This is a self-paced solution, and it can be completed within just a few weeks.
  • Value Driven: Data and analytics portfolio prioritized based on decisions they support and their impact on business goals
  • Ready for Action: Mapping of decisions down to a concrete list of data elements that can be collected, analyzed and acted on immediately
  • Personally Delivered: Visualization methods and channels defined for each persona, grouping data elements into effective reports
  • Process Enabler: Decision lists including extracts from process diagrams to support day to day operations with data
Sneak Peek

“Next best offer decision requires answers to ‘Who is eligible for each product?’, ‘What is the sales propensity for each individual?’, ‘What is the expected profit from the sales?’, ‘When was the last time we offered the same product?’”

“Answering ‘What is the sales propensity for each individual?’ requires building ‘Product Cross-Sales’ model and collecting ‘Sales History’, ‘Demographics’, ‘Product Usage’ data”