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What we Do

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Data Milling

Access untapped data repositories

▼ Do we have data? Is it available?

Analysis of data repositories, data links and internal & external data flow.

▼ Where is the data?

Data Management architecture.

▼ Do we need to pay for data?

Data taxonomy: "0 party", "1st party data", "3rd party data".

▼ Can we access & process data?

Data availability. Legal (Consent management, Purpose limitation).

▼ Can we collect all metadata?

Analysis of data capture & collection.

▼ Do we extract all the information?

Metadata analysis & breakdown.

Analyzing & Segmenting Data

▼ Are the data obtained segmented?
Can we access the raw data?

Analysis of data. Initial assessment of segmentation

▼ Is reality adequately represented by available data?

Identification of Data Gaps & Data Opportunities

▼ Have we analyzed data's multiple dimensions?

Assessment of data layering alternatives.

▼ Are data available skewed?

Analysis of skewness in data collection and/or data processing & analysis.

▼ Can we effectively determine Cohorts?

Segmentation & data layering Cross sectional analysis for an efficient cohort identification

Distribution & Monetization

▼ Can we ,monetize our data?

Initial assessment of data monetization alternatives.

▼ Can we justify a proper Data Management project?

Assess Investment and returns to Pitch ROI to CEO & Board

▼ Can we assess ROI for data processing?

Measure & translate into differential income productivity increases resulting from new data processes

▼ Can we sell data? In which form?

Analysis of alternatives to generate & package data streams

▼ Can we create recurrent income streams based on data distribution and sale of data?

Market analysis for distribution and sale of data