Asset-based Data Management

Turn your raw data into assets which are durable, purposed, extendable, shareable, trusted and measured in value.

About

Asset-based Approach to Data Management

The dynamics of analytics and changing business needs require a more flexible and responsive data management system that can evolve and grow rapidly, be extended to incorporate more types of data, enable more precise security and privacy functions, ensure higher quality management, and enable improved exchange of information.

We have developed a new architecture which combines the rigour of MDM as the core structure integrated with a late-binding structure of purposed data assets.

We build these architectures using the low-commitment (open source) technology of your choice – there is no need to invest in multi-year / multi-million dollar technology contracts.

A more responsive approach to supporting clients with meaningful data

Provide meaningful data ready for any analytical platform

Breaks the privacy and security paralysis by enabling a more focused and granular approach to security management

Allows for the effective curation of assets to manage the application and liability associated with data

Supports IOT by providing message focused packages of data

How

Anatomy of an Asset

An asset is a manageable sized collection of data which has been assembled and curated with a succinct purpose in mind. True to its promise of being an asset, all knowledge and realized benefit is curated and included within the packaging of an asset.

NEWS & INFO

More To Know

TDWI München 2020

Paul Flach has been invited to present a half-day session this June at the TDWI München 2020 conference in Germany. His presentation is entitled "Codex - Product Management Method for Analytics".  For more information on this conference -...

TDWI Executive Summit in Miami

Thank you to all the attendees at the TDWI Executive Summit held this past November in Miami.  Please contact me for a pdf copy of my presentation on the "Codex Method - Value from Analytics".

We're Here To Help!

Hours

M-F: 8am - 10pm EST
S-S: Closed

Call Us

(647) 448-3329