Data Stratosphere

Forecast potential and monetization in focus

An enterprise-wide data strategy

Forecast potential and monetization in focus

To create a data strategy, we work for you or your consulting projects or your business using established processes. We identify potentials for linking your data and for predictive forecasts. On request we will further work hand-in-hand as your specialists for data science in your consulting projects. We are happy to be your sparring partner in acquisitions.

Our approach to the definition of a data strategy is divided into the areas Define – Measure – Analyze. The optional areas Improve & Control ensure the implementation and monitoring of your data strategy.

Define

  • Kick-off workshop with your decision-makers and technical experts

    In a joint workshop we place existing data sources, analysis areas and contact persons determined with you. We define common objectives of analysis, urgency and required forecasting capacities. Strategically, we define the future data provision as a cloud or on-premise solution with you. Together we evaluate the current data usage in the enterprise on the basis of an objective set of criteria.

  • Individual interviews

    In interviews with the previously determined subject matter experts and decision makers, we determine existing data sources and current analytical capacities. We document the existing data on the basis of raw data schema and you provide us with if necessary anonymised sample records.

Measure

  • Analysis of existing data

    We analyze the existing data with regard to statistical significance, validity, timeliness, completeness and consistency. We assess the existing data processes in terms of achieved data quality.

  • Analysis and documentation of across the enterprise relevant key performance indicators

    In preparation of possible forecasting methods, we put together the performance indicators used and document important filter criteria and characteristics.

  • Statement on the achievement of data quality and on existing data management

Analyse

  • Defining possible prognosis potential

    By the exploration of your data, we find potentials of prognosis and collate these with existing data. We prioritize these potentials with reference to the possible monetization and rated urgency.

  • Documentation

    You will receive a report on existing potential of prognosis, data structures and data quality. We make recommendations for data management and the use of your prognosis potential. At the same time we state metrics for the measurement of a successful implementation.

  • Indication of possible forecasts and their monetization

Improve

  • Implementation of self-service dashboards

    On request, we implement prescriptive dashboards, bringing together all existing measures. This enables you to remain agile and achieve a comprehensive overall view of your business data as the first initiative.

  • Implementation of forecasting models

    On request, we deploy the recommended forecast models in coordination with your IT consulting and your subject matter experts once or as an application.

  • Project management for data management

    We accompany your conversion to data-driven business as a communicator between technical implementation and agreed business objectives. We constantly compare your requirements with our internal technology database. So you gain a demand-oriented data solution.

Control

  • Control of data and prognosis metrics

    After implementation we will assist you by constantly monitoring the achieved forecasting and data quality.

Identification of prognostic potential and monetization

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