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There are very few organisations that do not make use of data in decision making. In simplest of cases, though rare these days, a business can run on an excel sheet and in advanced cases there can be 10s of software systems needed to run a business. For example, in the utilities sector, power distribution companies can have more than 40 different software systems. So, it becomes ciritical to ensure delivery of reliable, accurate, timely and relevant data to the executives for decision making. There are several aspects to ensure forementioned delivery and this is what we broadly call Data Systems. Data Systems are complete software systems that support and manage data in any form, structured or unstructured. Structured data is organised in a way so it is easily searchable in relational databases.

Unstructured data is not organised in pre-defined manner, making it much more difficult to collect, process, and analyse. While the system is designed and built, a conscious effort is required to govern the data i.e., document and use technology to implement practices and processes to ensure formal management of data assets within an organisation. Such data governance increases trust in the data and maximise data usage with multiple benefits; competitive advantage, improvment in operational efficiency, agile reactions to market response on a cusotmer-facing business initiative (sentiment analysis), reduction of risk due to leakage of personally identifiable , etc. Include services in here: Data Assessement, Data Migration (explain challenges, Oracle to salesforce, legacy to SAP), Data Quality Monitoring and scorecards, Data Lineage

DATA SYSTEMS ENGG & OPERATIONS (DataOps)