A number of siloed organizational systems generate data that are distinct, independent of one another and stored in different formats. The surmounting volume, variety and velocity of enterprise data render them complex and difficult to be analysed. In most cases, the gap between analytical and operational processes is widening, especially when raw data are matched with legacy analytical methodologies.
For businesses to make the most of available data, it is essential to harmonize, engineer, cleanse, and manage them effectively with the most cutting-edge technology. Knowing this, we engineer data sets to exploit big data opportunities to unravel niche insights. We harness most current big data tools and technologies to transform data and cut the time-to-insights for decisions makers, customers, and employees.
In today’s digital economy and data-driven world, businesses are seeking greater access to data flexibility to drive innovations. Moreover, leaders are differentiated by their capability to use data to create value. We use the right techniques and tools to gather any type of data and cut the time-to-insights for decisions makers, customers, suppliers, and employees.
Organizations use a wide variety of applications, databases and NoSQL stores, making data that emerge from them incompatible and complex for data analysis. Our data modelers work with businesses to build a comprehensive data model that encapsulates the concepts of an organization and enables them to handle data as a resource, integrate information systems, and design data repositories.
Data Lake Design
Traditional storage and analytic solution add to the complexity of ingesting and storing data. With data lake architecture, data scientists and analysts can do any type of processing – real-time or batched and make sense out of data at a good clip. So, whether you are looking for a data warehouse implementation or are looking to extend your existing warehouse, our data lake architecture can help you store all types of data – sensor, clickstream, web extracts, social media, relational, structured internal, documents -- in its native format and perform faster data analysis.
Our data governance framework enables organizations to manage the overall usability, availability, security, and integrity of data assets within an enterprise. This enables companies to quantify the business value of data governance in the form of improved customer service, greater revenues, reimagined business processes and improved compliance with regulatory requirements.
End-to-End Data Management
Our holistic data management service enables businesses to manage the full data lifecycle from transformation and processing to storage. This enables businesses to unravel insights for today and find solutions for tomorrow.
Custom Application Development
Plug and play solutions save time and cost but not for niche players. We help businesses in developing custom big data applications and solutions with the right technology and on the right platform to fit your line of business.
Discussions with various department heads/core users handling different modules.
Present findings, impact analysis and suggests possible solutions.
Database analysis, system performance and resource usage
Prepare test plan, case, and test data. Perform user acceptance testing and system integration testing.
Design and Development
Implementation of BI model for a specific use case.
Additional development effort for customization. Complete deployment into production systems along with24/7 monitoring and maintenance.