Overview
Logaritm key capability is making “data ready” for downstream usage – analytics, dashboarding, reporting, and exploring.
There are three main reasons why Logaritm puts an immense focus on data.
- Companies will build their competitive advantage not from the AI/ML models they create, but from the data they own and how they manage it.
- Conventional tools and approaches such as ETL/MDM used to manage data are costly, time consuming and don’t scale up in the age of data variety.
- AI/ML models are highly dependent on the quality of data input and we want our clients to avoid the “garbage in garbage out” syndrome.
Our data services are enabled by AI/ML technology and guided by the SMEs (Subject Matter Experts) who know their data better than anyone else in their organizations.
Logaritm data services cover the following key processes of the data pipeline:
Not only does Logaritm offer effective tools but we provide one-stop “back office” for data services so clients can focus on building and operationalizing analytics and data science models rather than spending 60-80% of their expensive resources – data engineers and scientists– searching, integrating and cleansing the data.
Our data expertise and management tools enable data engineers and analytics teams to build agile datasets at an enterprise scale for a variety of data consumers.
Our Solution partners are shown in the following chart.
Each partner is a leader in their own domain of the data pipeline. Following is a brief about each partner.