Every business is ambitious about its growth. The few businesses that are able to actualize this mighty vision successfully,
leverage realistic, actionable insights obtained through big data analytics to understand market trends, buying patterns,
and the subsequent changes they may need to implement.
We’re all looking for relevance in this ever-expanding sea of data. As part of our data analytics services, we capture this essence of data analysis and management to help you understand new opportunities, hidden threats, your core audience, and their needs. Harness the power of technology and data to identify, distinguish, and personalize your impact in the market with data management, predictive analytics, data migration and more - all under one umbrella.
Big Data Analytics
With the right tools and an extensive technology stack, our big data solutions provide you with pertinent insights for customer behavior, operational processes, fraud prevention, risk management and more. Through cross-channel integration, capitalize on meaningful BI to achieve desired business outcomes.
It is so easy to be lost adrift in the virtual expanse of data. Data management is your only hope of rescue! Our team takes on the mammoth task of quality management, data governance, migration, integration, implementation, and archiving with expertise and skill. Preserve your data, enhance security and get clean, organized and filtered data for your perusal.
Predictive analysis is a forward-gazing technique of analyzing historical data to forecast accurate future outcomes based on a variety of set parameters. Businesses extensively use this method to detect risks, halt fraudulent behavior, identify opportunities, plan business strategies, and so on. Find patterns and recognize your business’ future value through our advanced analytics solutions.
Data Visualization and Reporting
In order for data to be usable and meaningful, it needs intelligent and informative representation. Our data visualization experts can profile your data through creative charts, infographics, heat maps and so on to help you unlock hidden value, uncover new insights, generate custom reports and create your very own decision support system.
Data Migration and Integration
Upgrade your legacy system and reap the benefits of digital transformation by migrating existing data and content through automated processes. For smooth migration and integration that does not interfere with your business processes, we ensure that the system performance, security, and maintenance is thoroughly monitored within the migration timeframe.
Architecture Assessment and Advisory
Our full-cycle architecture assessment and data advisory solutions ascertain that all your business’ IT needs are met; right from assessing your current system and its shortcomings to designing the infrastructure, implementation, maintenance, and support. Our data advisory can help you do a health check of your existing data, identify risk and streamline its design.
Our data analysis process is oriented towards drawing maximum value out of every decision made in every department of your company. We strive to deliver analytics, reports, BI and predictions of increasing accuracy to solve your problems, sometimes even before they crop up.
Define Data Requirements
Data is available in abundance. We need to know what to look for. To initiate this process, we define the data requirements of the business and the problems to be addressed. A business analyst is involved to quantify available data, and help identify KPIs and objectives early on.
Once the business goals are stated, we begin to gather relevant information from existing databases, data warehouses, and various other internal and external sources. The extracted data is stored in an organised system that ensures consistency, enables collaboration, and saves time.
This is a vital preparatory stage where the collected data is cleaned and validated to enhance its quality as well as accuracy. A lot of unstructured, junk data is pruned and gaps are filled so that misleading information does not lead to unreliable representation.
It is now time to explore and exploit the data through inspection, plotting, and modeling to spot patterns, draw comparisons and generate constructive insights. This deep analysis also provides a foundation for new data exploration.
Based on expert statistical analysis, the data models are evaluated and a predictive technique is used to determine future outcomes. These conclusions are further examined to find one that is most accurate, cost-efficient and favorable to the business.
The solution derived in the optimization stage is now implemented in the business, in line with predefined objectives. The outcomes are monitored and continuous course corrections are performed to exceed business challenges.