Our world runs on data. And there are so many pitfalls for organizations who are trying to thrive in a data-driven environment. Numerical Gurus can help with:
- Data Quality – is your data repetitive? Is it messy? Do you have four different names for the same thing? Or one name that means a bunch of different things?
- Cleaning – de-duping, re-naming, retconning, and backfilling – take back control of your data by ensuring it’s ready to use for the situations you’re confronted with.
- Taxonomy – a standardized taxonomy ensures that the “spine” of your data is clean and agile, future-forward and adaptable to situation you haven’t even encountered yet.
- Ontology – bringing your taxonomy to the next level with added dimensions and links to create a 3-D view of your data, and support data visualization projects.
- Data Integrity – have you inherited data during a merger or acquisition? Is it reliable? Is it trustworthy?
- Provenance – understanding where your data set came from, and how the meaning may have changed as it transitioned.
- Security – There are laws for personal identification – both national and international – that need to be adhered to.
- Lineage – understanding how your data is being transformed as it’s being used in various systems across your organization and those you work with.
- Data Frameworks – how is your data being used within your own organization?
- Project management – ensuring your organization’s data is correct, timely, and easily mapped to other systems.
- Licensing and communication – certifying that when your data leaves the house, it’s an accurate reflection of your organization’s business model and knowledge management.
- Profiling – are there data sets that have been overlooked? Is re-categorization necessary? Can the data be easily joined or mapped to external data sets?