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Discover the different types of data management 

Discover the different types of data management - blog cover

Everywhere we look we are surrounded by data on all sorts of digital devices, and the implication for businesses nowadays is more apparent than ever. The more information a business has, the best placed it will be to create decisions that appeal to customers new and old. Data management is a set of practices that improve the organisation’s, refining, and storing of data. It also incorporates gathering and processing. 

Data is your secret weapon; it can take years to assemble and build to inform business intelligence. Not only will your business gain an advantage from data management, but when expertly implemented, it will also benefit consumers and buyers. 

Benefits of data management:

At Software Solved a data optimisation audit is usually advised as the first point of call, to make sure the system can take care of all data and is fit for future purposes. 

Types of data management techniques: 

Data Preparation 

A process where we analyse the information and follow steps by making corrections or changing formats. 

Data Governance 

This sets the rules and clear outlines for a business’s state of knowledge. Data Governance works in tandem with Data Stewardship which specialises in protocols and ways to enhance. 

Data Stewardship 

Overlooks the protocols of collection, storage, and movement of information. This can be a time for rules to be enforced and implemented. 

Data Security 

Security is of paramount importance and all businesses should want to safeguard confidential data from unauthorised access or disclosing company information. This method anticipates and mitigates any possible risk where possible. At Software Solved our developers incorporate encryption methods at every level to assure clients’ data is shielded from the onset. 

Master Data Management (MDM) 

A process to confirm a business is making informed decisions based on one correct version. This helps keep everything consistent and aligned. 

Data Quality Management 

This is the cleaning stage where all company data is refined, cleansed, and standardised. From formatting dates and numbers to make sure client names are represented uniformly on all databases and applications. 

Big Data Management (BDM) 

Managing data that’s high in variety and volume. The method helps to organise both structured and unstructured data with the goal to permit high-level quality and accessibility for the client to enable data analysis to work out actionable insights. 

Extract, Transform and Load (ETLs) 

ETLs take data from one system, convert it, and load it into a Data Warehouse. 

Data Warehousing 

A blend of knowledge management and data analytics. The info is collected from a spread of sources and designed in an infrastructure, almost like a secure Lego brick house where all blocks meet together to eventually create a masterpiece (or in data terms, meaningful insights.) This process altogether, designs, implements, maintains and supports. 

Data Integration 

This process will allow you to automate laborious, manual processing tasks and reduce any data errors moving forward. 

Business Intelligence (BI) 

This process mixes data from over 800 sources, including Excel, Dynamics, Salesforce and SharePoint. It brings it to life employing a range of visualisation tools, including charts and tables. 

Data Optimisation audit

A data management specialist will achieve an understanding of your systems, users, reporting and objectives. Once complete, they’ll conduct an in-depth technical review of your current holdings and capabilities. 

Struggling with managing your data? Or do you have any further questions about data? Do get in touch, our data specialists are here to help. 

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