Close to 80% of all data in organizations, is unstructured. Without a framework or a blueprint images, videos, email, documents and text are useless as business tools.
At Adaequare, we understand that every data problem is different. We also appreciate how a varied mix of strategies is required to ensure that your data is leveraged to deliver higher value. In our discovery phase, we evaluate your data ecosystem and then hand pick the right kind of data scientists, statisticians, BI analysts, SMEs etc. who can tackle your specific problem.
We enlist Apache Hadoop and a choice of technologies ranging from open source enterprise to proprietary. Our expertise ranges from Apache Java Map Reduce to niche focus areas such as Hbase, Pig Latin, Hive, Groovy and Cassandra that are relevant to big data management. Our team will answer all your questions and anxieties about unstructured big data and prompt you to think of a few new ones too. Our expertise with multiple industry standard elastic cloud computing environments (Amazon EC2, Microsoft Azure etc.) will aid you to quickly process and get a control on unstructured data.
Adaequare hand-holds you in the choice of applicable combinations of data warehouse, staging, marts and analytics sand box environments. This ensures optimization for the environments you are already invested in, while setting up architecture for analysis flexibility and speed of decision making.
We apply our proprietary best practice Data Analytics life cycle for unstructured data
Adaequare team’s goal is to optimize your business to derive greater business value from processing unstructured data. Our proprietary analytics life cycle for unstructured data includes Discovery, Data Prep, Model planning, Model building, Robustness verification and Operationalization phases. We employ data scientists and BI analysts who view unstructured data from various perspectives, and evaluate it in radically different ways. Our model selection techniques are not preset, but are based on the end goals in sight. Through careful data exploration we identify key variables, evaluate relationships among them, ensure data hygiene, categorize the unstructured data to patterns and trends and finally provide sentiments, summary analysis and insights.
Quickly identify your hidden but valuable business drivers
We understand your need to optimize business operations, the desire to identify business risks and the drive to correct course. New business opportunities have to be unraveled, to push growth. Compliance to broad based regulatory requirements and laws governing your industry is another necessity.
Our proven and time tested methodologies address industry domain specific problems such as customer churn, sentiment analysis, fraud and default prediction, pricing, profitability and sales efficiencies, best new prospects, cross-sell and upsell opportunities, fair lending etc. These analytics and data driven approaches have evolved over several years of successful outcome-based implementations while leveraging the trends in data science technologies.