25 C
Jaipur
Friday, October 23, 2020

Data Governance – Best Practices for Collection and Management of Data

Must read

huawei: Huawei ekes out third-quarter revenue growth as US restrictions bite – Latest News

Huawei Technologies Co Ltd eked out a gain in third-quarter revenue as the impact of the COVID-19 pandemic added to supply-chain difficulties brought about...

MEE Audio launches new range of Bluetooth audio accessories

MEE Audio has released a new range of audio products at different price points. There’s a new ‘MEE Audio Connect

Accenture along with SAP aims to take businesses into cloud-based open industry solutions

Accenture has announced it will be working side-by-side with SAP to help companies change their business operations with industry-specific solutions based on SAP’s...

huawei: Italy vetoes 5G deal between Fastweb and China’s Huawei: Sources – Latest News

Italy has prevented telecoms group Fastweb from signing a supply deal with Huawei for its 5G core network, two sources close to the matter...

Data Governance: Companies today must do all they can to create advantages against the competition.

This means using all available resources to their advantage and creating an internal environment that supports fast growth and an ability to adapt to and even interpret changing business conditions.

One critical tool today is data. The collection and management of data surrounding company activities have come to the forefront of business and allows an enterprise to know their customers better, develop, position and market their products more effectively, and understand how to make their organizations more efficient.   

Although data collection and management now sits at the heart of the business, companies can find themselves overwhelmed in terms of how to collect it and make it useful.

With so much of it available and needing interpreting, businesses must utilize sophisticated software tools like data governance solutions to make sense out of all of it and position it so that it is a usable asset. 

Also Read: Key Elements and Important Steps to General Data Protection Regulation (GDPR)

Data Governance

Defining Data Governance

The importance of data collection and the explosion of data available creates a conundrum for companies.

In order to make sense of it all, companies need policies around data. Data governance is data collection and management policies for how a company treats its data.

It sets up rules for making sure that data integrity, availability, and usability is at its highest level.

Data governance is done with software and processes that make data management more efficient, minimize risks, reduce costs, and make sure that the processes used are compliant.

The best data governance tools can help a company to become more successful, and provide them with a powerful tool to grow their business. 

Selecting the Best Data governance Tools

The best data governance tools should excel in these top 2
critical areas:

Automation of Metadata Management

Management of all data is important and the best data management tools will each have this as a strength. But one area that must be focused on is metadata because data governance metadata sits right at the heart of things.

It is extraordinarily important to collect and manage metadata efficiently or things can get out of hand quickly.

Having to review and cross-check metadata manually is time-consuming and error-prone.

Therefore, the data governance software you select should have automation of metadata management as a core feature. 

Management of Your Workflow

The data management area of your business will involve different parties that need to be coordinated to interact with the data.

This can be difficult to get right and cost you unnecessary time and money.

The software you select should have powerful tools to allow you to manage the workflow around data, allowing anyone who is involved in the process to always know where things are, and to be able to report and hand off things to others seamlessly.

Your data governance software should be intuitive and also have strong capabilities for dealing with artifacts.

In total, the software should make your organization better at controlling and utilizing data in a way that translates to your company’s bottom line.

Source link

- Advertisement -

More articles

LEAVE A REPLY

Please enter your comment!
Please enter your name here

Latest article

huawei: Huawei ekes out third-quarter revenue growth as US restrictions bite – Latest News

Huawei Technologies Co Ltd eked out a gain in third-quarter revenue as the impact of the COVID-19 pandemic added to supply-chain difficulties brought about...

MEE Audio launches new range of Bluetooth audio accessories

MEE Audio has released a new range of audio products at different price points. There’s a new ‘MEE Audio Connect

Accenture along with SAP aims to take businesses into cloud-based open industry solutions

Accenture has announced it will be working side-by-side with SAP to help companies change their business operations with industry-specific solutions based on SAP’s...

huawei: Italy vetoes 5G deal between Fastweb and China’s Huawei: Sources – Latest News

Italy has prevented telecoms group Fastweb from signing a supply deal with Huawei for its 5G core network, two sources close to the matter...

huawei: Huawei reports 9.9% revenue growth in first 3 quarters of 2020 – Latest News

Huawei on Friday said that it generated a revenue of 671.3 billion yuan ($98.57 billion) in the first three quarters of this year, an...