Data Lake

Data Lake

Data Lake is a repository that stores combination of unstructured data and structured data. We help you build a Data Lake for your business which can read data from any source and from any device, cleanse it, process it and then analyze the data for decision making.

Consider a case where a major pharma company has launched a new energy drink for adults in India and China. It has spent huge amount in advertisement on social media on facebook and twitter. Now the company wants to analyze the demand for this energy drink in US and UK based on the feedback it has received in India and China. It wants to know how much it should spend on the new advertisement campaign and which market should it launch first US or UK. All the data from facebook and twitter will be extracted into Amazon Sagemaker and analyzed. As part of the analysis, this text data data will cleansed, and processed. Once the data is brought into a structured format then it will be analyzed and predicted using the appropriate reports. These reports will help the management to answer questions like How much budget should be allocated for the initial advertisement campaign, how will the likely response be when the energy drink is launch in US and UK at different time periods, which is the best season to launch the energy drink, and so on.

We work with major hyperscalers like Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform in implementing various DataWarehouse, Business Intelligence and Data Science applications. Anything that can be measured can be analyzed. We help you predict using data for better analysis.