Management & Governance

DATA GOVERNANCE

Primarily risk mitigation, data governance protects data and information as an enterprise asset (including archive strategies).  This includes the structures, people, processes, and technology required to create consistent and proper handling of data across the enterprise.

Data governance is concerned with measuring and monitoring compliance to data standards and business rules.

Benefits of Data Governance

  • Reduce cost by eliminating redundant effort to maintain master data and avoid duplicates
  • Ensure data ownership
  • Improve data security
  • Decrease the risk of regulatory fines
  • Increase the quality of master data
  • Increase consistency and confidence in decision making
  • Accelerate availability of up-to-date master data in the business network
  • Provide transparency on who has changed what, when & why
  • Convert manual processes to system guided processes with workflow approval

 

DATA MANAGEMENT

Data management is the operational execution of controls and processes.  This includes the creation and maintenance of data objects, their fields and their content, as well as the creation and maintenance of business rules that are defined according to the data standards set in the governance process.

Corporate Brochure - image 2

Data Management can exist without Data Governance, but it cannot mature or scale.

SimpleData Governance logo

SimpleData Governance aims to reduce the complexity of data governance by focusing on what is most important from a data domain or object perspective.  SimpleData Governance is a three phase approach, where we work with the business to:

  1. Determine the current data management and data governance state.
  2. Make implicit structures or controls explicit - so that this allows for control.
  3. Translate this into a future governance framework as part of the business strategy.
Governance 2

From Data Objects to Governance

Start with the Data Objects and the various tasks, roles and processes orbiting them.  Then define the roles, responsibilities and processes so that every level becomes structured measurable, and controllable.

 

Without control and consistency at the base, processes utilising multiple data objects will fail.  When maintenance and control start from the object level, domain quality is possible.

 

Roles require structure, policies & procedures so that governance can be embedded and risk mitigated.

Object Govern

SimpleData Management is our cornerstone product that enables a rapid cost effective data management solution.

From validation at point of entry through screen simplification to advanced reporting and data cleansing.

Simple Data Governance in the age of complexity

Jan 30, 2019

There is the need for digital engagements with customers and suppliers while remaining true to their core business value. Ultimately, however, any new business project will still require data to be effective.

Read More

Introducing SimpleData Management from GlueData

Nov 22, 2018

SDM will ultimately become a single solution for integrated data management and data governance.

Read More

How Governed Source Validation assists GDPR/POPI compliance

Oct 3, 2018

GDPR and POPI place new emphasis on companies that process personal information. Not only should enterprises know which data they have, they are also required to manage this data in a structured and responsible way.

Read More

Consol improves Data Quality with Solutions from GlueData

May 23, 2018

Consol has been a pilot customer for GlueData in implementing the SDM solution.

Read More

SAP Data – validate at point of entry and manage quality with no additional licensing cost

Jun 26, 2017

lueData Master Data Solutions, the leading SAP Data Solutions company in South Africa has developed multiple methodologies, accelerators and approaches to managing data quality with SAP.

Read More