Information is the life blood of any modern business.

It underlies every business decision, customer relationship, and business investment. How can you know if the information that you rely on everyday is the most accurate, consistent, and reliable?.

Our focus, over more than ten years, is to reduce the complexity of data management.

We do this through a combination of data management training, consulting and technology to enable your business to unlock the potential of its information assets.

African EIM Specialists

Sound Enterprise Information Management principles centre on a business driven data management strategy to ensure allignment between data and business.

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Collibra Data Governance platform

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We help you to allign business and IT goals and objectives through the relationships between:

DATA GOVERNANCE | DATA QUALITY | MDM | BIG DATA

Data Migrations

Data migrations are frequently seen as an unexciting step in building the right environment for a new enterprise application. 

Clean Data Saves Systems

For this reason, they are frequently poorly planned and poorly understood. Industry researchers, like Gartner and META Group, agree that data migration challenges can drive significant unbudgeted expenses for these projects - and are a frequent cause of project failures.

in most cases, these costs can be attributed to a design for a new application that does not take existing data complexities into account. This means that issues are discovered only during data take on - a very late stage in the implementation life cycle - and significant, costly rework is required to amend the application design to cater for these anomalies.

Manage your data migration

Master Data Management uses our proven data management methodology and market leading technology to accurately assess the fit of existing data to the business need. 

This allows us to accurately scope and implement requirements for data cleansing during the data migration ,as well as to assist with planning data structures to best accommodate existing data.

Maintain Data Standards

The last thing you need is to invest millions in new systems only to find that the data quality issues that plagued you previously have resurfaced within months of your go-live date.

Our approach allows new systems to reuse business processes and validations built to migrate data, ensuring you get the business returns you expect from your system.

 
  • Architecting for big data in the cloud
    Last month I was invited to speak at the 2017 ITWeb Cloud Summit on the topic – Cloud Architecture for Big Data Analytics. The presentation was scheduled for the last slot of the day – 17:00 to 17:35 – in spite of which we had quite a good audience and, I hope, an informative and…
  • Wouldn’t the world be better off without the concept of master data?
    Last week, Henrik Liliendahl responded to questions posed to him by Jan van Til. Jan asked: Wouldn’t the world be far better of without the concept of master data? What problems are solved by it? What problems are introduced by it? The balance? So … why do we keep toiling with master data?” Henrik’s response…
  • Is data governance the peer review system for data science?
    I recently attended the first Africa Data Forum in Johannesburg – a three day event focusing on data science and skills development. Data governance was a key theme of the first day of the event. Research shows that data scientists typically spend an average of 60% of their time simply trying to find and prepare the…

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