Turn data into insights

The data needs of enterprises are complex and differ in their needs from each other. The ultimate objective is to get the unified view of the data while simplifying the operations and developing re-usable components. We combine our deep expertise of handling various types of information architectures and build a modern data architecture for you that consists of:
A data lake with combination On-Premise/Cloud systems that can handle variety of structured and unstructured data

Data Ingestion and Transformation – Data arriving from different source systems is integrated, transformed and ingested into the data lake. Cognine helps you with designing the workflows to transfer the data from source to target systems and choosing the appropriate tools and managing the combination of on-premise and cloud data systems.

Big Data Analytics – If your information architecture demands the big data components, we will advise you on what works best for the specific needs ranging from Hadoop to MMP systems or NoSQL systems

Cloud Data Engineering – Whether it is S3 or Snowflake or Azure or Big Query, we help you build the cloud platform to offer you the scalability, elasticity and cost efficiency

Master Data Management – Robust data indexing and proper governance systems ensures you have an organized and unified view

Data Migration – Moving from on-premise to cloud? Or between different clouds? We will just make things easier as we have done that for numerous clients over the years

The reporting needs of the enterprise vary and are significantly different from each other. We work with your teams to identify needs, create a roadmap and implement the tools and techniques to get actionable data visualizations. From creating simple reporting structures over traditional RDMS systems to building scalable reporting architectures for enterprises, we have been there and done that before. And, we will do that for you across – Big Data, Cloud, Web, Mobile or embedding into custom applications.

Our expertise in the AI modeling and machine learning areas help clients adopt, evolve and refine their predictive analytics models for potential outcomes. Whether it is building supervised models or unsupervised modes or re-reinforced learning we have implemented it to drive outcomes across healthcare, manufacturing, logistics and retail industries.

Natural Language Processing – NLP models has definitely made things simpler in analyzing huge volumes of text, images and video. Depending on your needs we help you identify the right platforms that can analyze the data in your files, catalogs, social media feeds, videos and much more.

If you are looking apply some of these machine learning tools and techniques to generate insights for decision making or just need an independent advisory view of the your data science models, we would like to partner and help you realize the results our clients have experienced. We’re certainly not the first people to have these realizations, but we think our approach sets us apart.