Data Analytics is crucial and essential for businesses that want to make informed decisions. For achieve this ‘good data’ is imperative. In today’s fast-paced world, businesses generate an enormous amount of data every day, and it is essential to ensure that this data is accurate and up to date. Cognitive data, AI, and ML are emerging technologies that can help businesses achieve this goal of good data.

The GCC region is one of the fastest-growing markets in the world, and many businesses are investing in this region to take advantage of the opportunities it offers. However, the data available in this region is often fragmented and inconsistent. This makes it challenging for businesses to make sense of the data and use it to gain insights that can help them grow.

Cognitive data refers to data that has been cleansed and enriched to remove any inconsistencies or errors. This data is structured, accurate, and reliable, making it easier for businesses to analyze and use it to make informed decisions. AI and ML technologies can help businesses achieve this by automating data cleansing processes and identifying patterns that may not be immediately apparent.

Sainapse offers a radical and innovative solution that fundamentally transforms the data quality management for businesses. It commits to delivery and maintaining clean data sources, data volumes and data types. For example, a recently referenced customer was able to have cleansed 97.8 % of its 3 million records with zero business rules and zero consultants in less than 24 hours.