Gartner says a data fabric is a custom-made design that provides reusable data services, pipelines, semantic tiers, or APIs via a combination of data integration approaches in an orchestrated fashion. It can be made better by adding dynamic schema recognition or even cost-based optimization approaches. As a data fabric becomes increasingly…

Data is an essential topic in today’s business world. Every business owner wants to talk about innovative ideas and the value that can flow from data. The data regarding markets, customers, agencies, other companies, and publishers are considered to be valuable resources. Statistics and data are only useful if they are of high…

Agile Data Governance is the process of improving data assets by iteratively capturing knowledge as data producers and consumers work together so that everyone can benefit. It adapts the deeply proven best practices of Agile and Open software development to data and analytics. It begins with the identification of a business problem, following by the…

In recent years the technology has become prominent. AI and Machine learning are evolving quickly today. Almost today, everyone will have some interaction with a form of AI daily, some examples like Siri, Google Maps, etc. Artificial Intelligence is an app in which a machine can perform human-like tasks. Same time, ML is a system that can…

As the digital world continues to become more competitive, everyone is trying to understand their customers better and make finance, development, and marketing decisions based on real data for a better ROI.

Bad data is misleading and would be even more detrimental to your business than a lack of data at all. Organizations may also be…

Data catalogs are now a significant component in the management of data in modern organizations. Those that have implemented successful data catalogs have an easier time analyzing data. They can have quality data and improve the speeds of handling data. So what is a data catalog?

A data catalog is defined as a neat and organized inventory of…

Data Accuracy:

Data accuracy is the biggest challenge for many businesses, having accurate data is useful in all its stages to use. Data results in inaccuracies when it is created, collected or during the clean-up, or when being stored. The inconsistencies from any of the sources make the data useless or less…

Data integration involves combining the organization’s data from different sources to create one usable consolidated stream of data. When well-executed, data integration results in one accurate view which can be used for data analysis. With DQLabs, data integration is made seamless by utilizing AI-powered built-in…

Data is the driving force of every organization in the modern world. As organizations continue to collect more and more data, the need to manage the quality of the data becomes more prominent each day.

Data Quality Management can be defined as a set of practices undertaken by a data manager or a data organization to maintain high-quality…

Nowadays, the success of many businesses is primarily attributed to good relationships with their customers. That is, having a comprehensive understanding of what customer needs and availing it to satisfy their needs as well as achieve the business goals.  n Mathematics, 360 degrees is a full rotation that is, there are no blind spots.

Similarly, in…

Nowadays, the success of many businesses is primarily attributed to good relationships with their customers. That is, having a comprehensive understanding of what customer needs and availing it to satisfy their needs as well as achieve the business goals.  n Mathematics, 360 degrees is a full rotation that is, there are no blind spots.

Similarly, in…

Poor data quality is consequential now more than ever businesses access more and more data and manipulate it to their advantage. Users also have a larger list of options to choose from in case one house fails them.



Impacts of poor data quality

Organizations may not be able to avoid bad data altogether. The best…

Trustable data is defined as data that comes from reliable sources and used according to its intended and delivered in the appropriate formats and time frames for the specific users.

Trustable data helps in effective decision making. The properties mentioned in the definition makes data trustworthy for effective decision making.

Trust Factors of data:

Trustable data are good only if they meet certain basic requirements. Here are some of the…

With the digital world growing competitive by the day, everyone is trying to understand their customers better and make finance, product development, and marketing decisions based on real data for a better return on investment (ROI). If you don’t make use of data, there is a chance you will lag behind or, at least, use more money and energy to keep up with your data-driven competitors. That said, data needs to be accurate and of high quality to be useful. Bad data is inaccurate, unreliable,…

Obtaining good quality data can be a tough task. An organization may face quality issues when integrating data sets from various applications or departments or when entering data manually.

Here are some of the things a company can do to improve the quality of the information it collects:

1. Data Governance plan

A good data governance plan should not only talk about…