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Data Management

Let your Data tell the story

Data is the organization’s bloodline which not only shows the health of its processes but also, if well managed, can provide valuable insights for improvement and future opportunities. Data management is the art of identifying, capturing, collecting, cleaning, validating, storing, analyzing and finally reporting data which, done properly, can be a highly valuable asset to the organization.

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Data Management: Projects

here is how we can help:

  • Capture Data: Collecting data is your first step in building a data-driven organization. Finding what data best work for your organization can be a headache as it includes identifying data type, frequency, format, and quality. Identify what data do you need and how to capture it. Set up a data source and regulate its production of data. Digitalizing data to convert from its current form to an electronic form.

  • Collections and Transforming: Collecting and data is easy but collecting accurate and reliable data is not as easy. Set up a mechanism to collect data from data source on periodical basis that ensures data is cleaned from anomalies and validated before storing in secure and reliable database.

  • Data Analysis: It is a great advantage to have plenty of data collected but without proper analysis, your data would provide little benefit. Identify best methodology to analyze collected data to produce interpretable results. Address any issues data analysis may cause.

  • Reporting and Representation: Many users struggle in understanding data reports and presentations, after all, what is the use of data if no one or just few understands what it means. Design your reports to be user friendly delivering insights and key information to all your stakeholders using pre-set printable and online reports or dashboards.

  • Data Governance: Data is prone to change and so are people. Processes veer of course by time and that why you need Data Governance. Data Governance ensures that all your data processes from collection to reporting will remain stable, aligned you’re your needs and produce same results again and again. It also includes details on data owners, how each metric is collected and calculated and how it should be used in internal and external reporting. Create data governance protocol to manage internal and external data collection, use and reporting.

  • Regulatory Reporting Requirements: Almost all regulatory authorities require some sort of data reporting. Accurate and timely reporting of such data is key in maintaining your organization reputation and compliance. Study Data reporting requirements and design or update data management model to ensure you will always be incompliance.

Data Management: Text
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