How are data management and data analytics related?
Data management and data analytics are two sides of the same coin. We're in the age of self-service analytics, where users from different departments of a company run analytics to make informed decisions. For personnel from non-IT verticals, data needs to be maintained in a simple and easily understandable form to facilitate easy analysis. This is where a sound data management policy makes a real difference.
A good data management policy ensures that data is collected, stored, secured and made easily accessible to users across the organization. When data from multiple sources is cleansed and structured to fit into a uniform format, it makes it easy for users to run data analytics and get answers to questions really fast. There has been a growing need for data cleansing tools recently, and a lot of analytics solutions in the market are starting to offer data cleansing as part of their analytics offering, along with other features that enable better data processing. This goes to show how data management and data analytics are closely interrelated.
More Q&As from our experts
- What are some of the advantages and disadvantages of embedded analytics?
- What is a CX platform and how are companies using the analytics from these platforms?
- What are network management services and how does the use of analytics here contribute to better IT management?
- Data Management
- Data Analytics
- Self-Service Analytics
- Data Cleansing
- Database Column
- Data Modeling
- Database Clustering
Tech moves fast! Stay ahead of the curve with Techopedia!
Join nearly 200,000 subscribers who receive actionable tech insights from Techopedia.
- Robotic Process Automation: What You Need to Know
- Data Governance Is Everyone's Business
- Key Applications for AI in the Supply Chain
- Service Mesh for Mere Mortals - Free 100+ page eBook
- Do You Need a Head of Remote?
- Web Data Collection in 2022 - Everything you need to know
- How to Protect Microsoft 365 from NOBELIUM Hackers