Trust in Data - What's Innovative?

In this episode of the Bloor InAudio podcast, we look at the key role data lineage plays in ensuring data quality across an organisation.

Assuring your data, not just its quality but its provenance and usage, is an issue that, in an ideal world, would be holistically addressed.

Analytics and graphs are appearing in more and more software tools

Qlik has just released Qlik Sense 3.0. It has some advanced data preparation capabilities.

Informatica's Enterprise Information Catalog come out too late.

Uneartha is a suite of products that provides requirements-driven data integration and data preparation capabilities.

Privacy Analytics has un-bundled its Risk Monitor. You can monitor the risk of re-identification in data masking environments and prove compliance.

IBM and Informatica have both just come out with big data integration and governance products

Alation can be best thought of as a pre data prep tool: helping users to find the data that's available to them.

Springbok is a data preparation platform for business users.

Data preparation is the biggest part (around 80%) of and data discovery/mining exercise. Trifacta specialises in making this easy in a big data world.

What do you want from data matching/cleansing software? Key requirements, needless to say, are that the solution be inexpensive and easy to use.

Infoglide competes with IBM in the identity resolution space but the both potentially have an issue.

Saphir, from Silwood Technology, has the deepest understanding of SAP and Oracle environments that I have seen anywhere

In the last few years there has been a trend amongst data quality vendors to move towards what is typically known as pre-emptive data quality. That is, to have proactive capabilities that enforces...