Data Governance

Do you trust your data?

Data Governance

If you answered yes – you trust your data – the chances are you’re fooling yourself

But you can’t fool all of the people all of the time (especially not the regulators). And you can’t build the successful data-driven organisation you want your business to be, on foundations of shaky data. Time to look at where your Data Governance is, and where it needs to be.

Small business

If you’re a very small business, you’re probably surprisingly good at Data Governance. Or at least the one person who deals with it is. But when that person is on holiday, or leaves, what then?

We’re data driven

Maybe your business isn’t so small. It’s grown. But your Data Governance resources and capabilities haven’t. The one person who “gets it” is swamped. Inefficiencies creep in and you’re storing-up trouble.

Data Governance

Bigger business

Your business has grown larger still. There may be pockets of effective Data Governance – more through luck than design. The rest of your business struggles on: errors increase, costs increase, productivity falls.

It’s never too late, or too soon, to examine the people, processes and technology involved in your Data Governance, and to devise a strategy and plan. That’s what Agile Solutions is uniquely qualified to do for you.

Data Governance builds business

Data Governance isn’t something separate from your business. It can build your business. Or if it’s done badly, it can hold your business back.

That’s why Agile Solutions help you look at your Data Governance people, processes and technology across all four data areas:

  • Master Data – the single source of common business data used across all your systems, applications and processes
  • Reference Data – the data that defines the values used by all other data fields
  • Metadata – data that provides information about other data
  • Transactional Data – data describing an event, including time, numerical value and object or objects.

We also apply our Data Governance expertise across all the recognised Data Governance domains:

  • Data Modeling and Design
  • Data Storage and Operations
  • Data Security
  • Data Integration and Interoperability
  • Document and Consent Management
  • Reference and Master Data
  • Data Warehousing and Business Intelligence
  • Metadata
  • Data Quality
  • Data Architecture

None of the data areas or data domains work in isolation. So your business won’t work as well as it should unless you get to grips with them all.