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Data Management Consulting

Many organisations face different data challenges and they employ different strategies to overcome these challenges. However, while these challenges may differ, the underlying goal is to make informed decisions that will put the organisation on a growth path. To make informed decisions, organisations must be empowered with access to accurate, complete, consistent and timely data.

InforData Consulting offer various data management solutions with cross-functionality. One or more solutions may meet your organisation’s requirements.

Services

Many organisations have a proliferation of data repositories or silos, spread across different business units and regions. Couple this with an increasing number of Mergers and Acquisitions and you will find that this disparate data, spread far and wide across an organisation, becomes a massive challenge.
Implementing a Data Integration Solution allows organisations to effectively consolidate data into a single enterprise-wide repository, thus providing an accurate basis on which to make effective and informed decisions.

We provide data integration solutions across all business units, pulling together data sets from a myriad of legacy systems, spreadsheets, and databases.

Applications that we work with include, but are not limited to, Enterprise Resource Planning (ERP), Customer Relationship Management (CRM) and Relational Sources.
Managing your core business entities is vital to your organisation’s growth. Effective management enables decisions to be made based on accurate, complete and consistent data, from a single source. Master Data Management is an enabler that ensures that an organisation’s master data is stored in an organised form. Additionally, it ensures that data is effectively governed, allowing your business access to valuable data.

Embarking on a Master Data Management initiative comes with peculiar challenges. InforData Consulting will help you to implement a Data Governance charter as well as profile and integrate your disparate source systems. The end product will give you a single view of your Customers, Suppliers and Locations data.
As organisations strive to deliver goods and services to satisfy the ever-growing needs of their customers, they acquire numerous applications to deal with these challenges. In the process of this acquisition, data creation, updates, usage and archiving can go unsupervised. This often leads to inaccurate information being disseminated and used within the organisation.

Using processes that iteratively sieve through data sets, as well as matching them against the organisation’s agreed definitions or format, we will ensure accurate, complete and consistent data is delivered. The is called Data Quality Control.

We work closely with the data owners and users to establish and implement data quality control solutions, to ensure the storing of accurate and high quality data, from which the company can draw.

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Organisations often look for ways to achieve a higher level of customer service. Often, this may require the purchase of a new application. To ensure continuity, data has to be moved from the legacy system or systems to a new application. Using a well thought-out and detailed plan, InforData Consulting will help you plan and execute a Data Migration process. This will be done without the loss of data or misrepresentation of the actual meaning of your source data.
At InforData Consulting we understand the importance and benefit of efficient data management. We believe that the implementation of a Data Governance Charter will create a foundation for effective data management during your company’s future.

As part of our job, we will help you to standardise data access across your organisation, with well defined roles and responsibilities for your data stewards and data owners. This entails the generation of policies and procedures for a unified data management approach.
ETL is a widely used procedure for cleanly moving data from one application (the source), to another  (the target).
Whether you are embarking on a Data Integration project or Master Data Management project, data has to be moved from one location to another. And this movement of data can be done in an organised manner. There are three parts to any ETL process;

Extract – Data from various source systems is collected in an orderly manner and placed in temporary locations. This has been made possible through transformation objects within the many ETL tools, such as Informatica, PowerCentre, SAP Data Services and Talend.

Transform – In the transformation process, business rules are applied to extracted data. Data can be aggregated, sorted, normalised, and enriched. Data can also be cleansed and validated.

Load – This process is about how transformed data is inserted into a target system.