Data-driven decision-making

Intuitive decisions become too expensive in our data-driven world. Leaders waste time, money and opportunities discussing and making decisions based on subjective evidence or personal believes. To remain competitive long-term, businesses must learn how to collect, analyze and use data on all levels of management within all functional areas. At the same time, different sources of information and perspectives create multiple versions of truth so leaders will benefit from techniques of value extraction out of information that is not 100% accurate.

1. Internal Intelligence

Internal data is a valuable source of quality decision making on different levels of company management. Internal analysts often perform a limited amount of investigation for existing management requests. For that reason, management does not unleash the full potential of data in hand until our engagement.

How we help

  • analyze current internal sources of information and decisions they support

  • advise on possible improvements to analysis of existing data and that available for future collection

  • build analytical tools for one-off or continuous management reporting

  • facilitate cooperation with business intelligence system providers to build automated solutions


  • SKU and client classification

  • Seasonal sales decomposition

  • Sales structure imbalances among structural units

  • Sales rhythm analysis with clients

  • Sales forecasting methods analysis

  • Pricing and profitability analysis

  • Sales promotion effectiveness analysis

2. External Intelligence

When competition starts following your success and reacts to your moves, it is time to upgrade your market navigation. Company leaders will need a clear view of market and competitive moves to make effective decisions, target valuable segments and learn from competition. Since market data is not hard facts, but is a sample-based information, organizations need to learn how to use it effectively together with existing sources.

How we help

  • analyze external data sources available on the market and cost vs decision support opportunities

  • prepare clients for negotiations with data suppliers

  • analyze data quality based on test reports and shape expectations for different types of future decisions before reports are purchased

  • train personnel how to use data from multiple sources for analytical tasks

  • analyze the market, segments and players


  • Procurement of market data

  • Management of data suppliers

  • Market and players in-depth analysis

  • Price segmentation (mono or multi-category)

  • Assortment and distribution effectiveness analysis

  • Econometric modelling and forecasting

  • Crosscheck of data sources

  • Support in implementation of external data into the decision-making processes

  • Training of personnel to perform data analysis

3. Consumer Intelligence

When tactical competition is not enough to meet the company’s ambition, it is time to hear the voice of consumers. You look at desires and values of people who pay your profits to make your company truly consumer led. You channel your creativity and resources into a long term value creation and increase your chances for organic growth.

How we help

  • assist managers in definition of consumer research needs for decision making

  • select optimal research tools

  • create a special task force for complex analytical projects and ad-hoc methodologies

  • assist clients in their own research initiatives with consumer data available to them


  • Pitching for consumer research suppliers

  • Management of research projects

  • Turning Brand Health Tracking analysis into actions

  • Segmenting consumers within CRM databases

  • Crosscheck of data sources

  • Support in implementation of external data into the decision making processes

  • Training of personnel for data analysis and research management