Enterprise Data Management is concerned with managing the organisational assets. Data, when appropriately managed has the potential to deliver significant business value; but, conversely, it also presents a considerable risk if mismanaged.

What we offer

Data governance Services

Data governance is the set of policies, procedures, and standards by which data quality is executed. It involves establishing transparency, trust, accountability, and availability of your firm’s most valuable asset: investments data. Enterprise data governance comes into play when business units or managers find that they cannot – or should not – make independent data related decisions without understanding the broader impact across the firm. To accomplish Enterprise data governance, firms must bring together cross-functional teams to make interdependent/collaborative decisions toward providing high quality data services to stakeholders.

Data quality Services

Data quality is the enforcement of data governance through a methodology to measure key data quality metrics and KPIs. It is the feedback mechanism to show the effectiveness of data governance policies and standards. Most organizations already have data quality functions performed in various silos, especially with investments data and reconciliation. The functions being performed here address data issues that are specific to that system and/or process, but frequently do not consider the larger picture. To truly support the enterprise, data quality should be viewed as more than data cleansing and scrubbing. Data quality initiatives should focus on addressing the data quality issues at the source vs. after the fact, and should be measured against key business metrics and value factors.

Diagnostic Services

Diagnostic – A look at past performance to determine what happened and why. The result of the analysis is often an analytic dashboard.

Descriptive Services

Descriptive – What is happening now based on incoming data. To mine the analytics, you typically use a real-time dashboard and/or email reports.

Key features

• Better decision-making – Corporate decision makers will no longer have to make important business decisions based on limited data and hunches. Data warehouses store credible facts and statistics, and decision makers will be able to retrieve that information from the data warehouse based on their personal needs. In addition to making strategic decisions, a data warehouse can also assist in marketing segmentation, inventory management, financial management, and sales.
• Quick and easy access to data – Speed is an important factor that sets you above your competitors. Business users can quickly access data from multiple sources from a data warehouse, meaning that precious time won’t be wasted on retrieving data from multiple sources. This allows you to make quick and accurate decisions, with little or no support from your IT department.
• Data quality and consistency – Since data warehouses gather information from different sources and convert it into a single and widely used format, departments will produce results that are in line and consistent with each other. When data is standardized, you can have confidence in its accuracy, and accurate data is what makes for strong business decisions.