Traditional data management techniques are adequate for static and relatively small datasets. But, for large and rapidly changing datasets unique data management techniques are required. Modak has the capability to handle such large datasets.
Data is collected from different sources. This data is kept “siloed,” with no ability to combine them or cross-reference when required. It becomes a challenge for most of the organizations to get insight from the unorganised data in the Data Lake .This makes it difficult to standardize data with various formats.
Data mapping of the data in various formats (at source) with the destination (in standard format) is a cumbersome activity in itself. This complex process is significantly simplified by Modak.
We use Data unification that allows merging of data that can be mined for useful insights into past business activity and for creating predictive models.