Our Big Data Solutions help our clients become a data driven organization.

We assist businesses to gain an understanding of a digital business. We help them implement big data strategy, real-time big data processing services, and data platform management platforms. We help businesses to implement a well thought big data program that involves the following:

1. Understand the business and define its goal. It is important to define a timeline and key performance indicators. 
2. Find the most appropriate data sets to work with. This involves identification and collection of data from internal and external sources.
3. Filter the data for foolproof analysis. It means removing data that is irrelevant to the scope, or is incomplete or incompatible. 
4. Analyze data using data visualization tools and techniques. This is important as the data is being used to make important management decisions. 
5. Develop and implement the big data solutions across all sectors of the business. 
6. Identify and resolve data security risks. This is important to avoid data leaks, data thefts, and hacking. 

Big Data Solutions help organizations gain a clear understanding of business leading to improved efficiency, security, lower costs and better customer service. 

Achieve deeper insights while protecting data with strong data governance practices.

Data Governance refers to the collective process of data creation, collection, retention, and usage throughout the organization. We help our clients implement data governance solutions by assigning owners for controlling and managing the compliance of each process. This in turn helps to reduce the operational risks. 

Our data governance solutions include the following steps to ensure participation across the enterprise:

1. Identify roles and responsibilities. It helps individuals take responsibility and accountability. 
2. Choose the right hierarchy. The data governance structure comprises quality of data, audits, compliance of regulations, business rules and policies, etc. The correct hierarchy helps focus on a better data governance approach.
3. Establish data controls. It is important to define key metrics, data thresholds, and a feedback mechanism. 
4. Identify authoritative data sources. Determine these sources and ensure that they’re adopted throughout the organization. 
5. Establish and roll out policies and standards. 

Data governance helps increase the efficiency of operations, revenue growth, and regulatory compliance in the organization.

We offer accurate, easy-to-use, and quality data enabling transparency to your business.

The enormous amount of data poses a challenge when it comes to identifying good quality data. Our smart data management solutions help your business to focus on data validation, and checking inputs to improve the quality of data. It also helps to reduce data consistencies and risks of non-compliance. We offer data quality solutions that focus on, but are not limited to the six key indicators: accuracy, consistency, completeness, validity, uniqueness, and timeliness. Our data quality solutions include the following essential steps:

1. Define the business goals for data quality improvement. 
2. Assess the existing data in comparison to the rules defined in the first step.
3. Analyze the results. In this step, we analyze the gap, if any, and its root cause.
4. Design and develop plans for improvement. These include resources, cost, and the proper timeline. 
5. Implement the plans. These could be both technical, and process related changes. 
6. Verify the data periodically. This ensures consistency and compliance with the solutions. 

State-of-the-art data integration solutions for the modern organization.

Data Integration consists of a group of both technical and business processes that help combine data from various sources into valuable and meaningful data sets. Our data integration solutions include the collection, grouping, and compression of data from various internal and external sources. This data is then standardized and integrated into user-friendly dashboards. Our data integration solutions consist of the following steps:

1. Define the scope of the project. We make sure that all relevant databases and softwares are considered. 
2. Understand and review the involved systems. We ensure that there is enough connectivity between the systems. We also plan for data security for all stages. 
3. Design data integration framework. We determine the requirements for the final data and map out the required data flow.
4. Implement the data integration solution. We also test the systems thoroughly before the implementation of the solutions. 

With our comprehensive data integration solutions, we help deploy effective integration throughout the organization.