Newark, Delaware, 19713, USA

Data & Analytics

Data & Analytics

Data Collection

Our experience says

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    Data comes in all shapes and sizes. There is a need to focus on delivering meaningful data from the noise so that insightful analysis can be performed.
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    Collection of data from various desperate systems, IoT devices and external systems is challenging. One single way to collect the data cannot be efficient as there are various factors going to make impact such as different protocols, different schemas, frequency of the data, and volume of the data along with the security compliance on the data during the transfer and data accuracy.
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    Our data integration team has built a knowledge base for an optimal way to connect using various connectors and the processes to collect the data from desperate systems, applications and IoT devices. Once the data collection is done it needs to be stored and/or navigate to the respective destination systems, applications.

What have our customers achieved?

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    Achieved data integrity through implementing right procedures to collect data which is also used to apply analytics.
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    Implemented energy monitoring capabilities which has ensured reduction in energy consumption. Through equipment data analysis, customers are now able to better monitor different enterprise assets resulting in lower maintenance costs and efficient operations.

Data Science

Our experience says


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    One of the main challenges enterprises have is that they use BI tools for data analytics which work in isolation and are not integrated with other systems.
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    This gives them a major disadvantage given the fact that they cannot expedient maximum value from the available tools.
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    Enterprises have a major disadvantage given the fact that they cannot expedient maximum value from the available tools because of which they cannot achieve competitive advantage.

Our experience says

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    Integrated BI tools with silos systems so that data science solutions can be applied.
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    Automated the implementation of algorithms and models to the data which has helped customers to develop new insights to drive action-oriented approach.
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    Achieved right use of machine learning and artificial intelligence by applying on large amount of data in a productive manner with the help of right technologies, tools and services.

Value From Data

Our experience says


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    Value from data is identical as value from money, as a financial planning, normally we do not keep money in saving account as it will give you less returns rather you will invest the money and let money work for you.
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    Similarly, if your systems, applications are generating lot of data and you just keeping that as a historical data that would be a mistake rather put the data on work, analyze it using machine learning and artificial inelegance and understand current situation, predict and forecast the upcoming challenges and eliminate the risk ahead of the time.
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    Focus more on efficiency, optimization and customer satisfaction by delivering continuous value from data.

What have our customers achieved?


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    Made informed decisions by understanding their client’s sentiments which helped them foster long lasting relationships.
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    Developed the KPIs and consulted on identifying data points which should be tracked in order to measure business outcomes.
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    With the help of our BI team, our customers worked on analyzing the current industry trends and on how that can be leveraged for competitive advantage.
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    Delivered better customer satisfaction by developing custom reporting tools which has helped them to identify patterns in data to deliver better services.

Business Forecasting

Our experience says

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    Everyone love forecasting and it is a part day to day life like weather and stocks. All these forecasting comes from data analytics.
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    Use of right technology by collecting, analyzing and forecasting data is very common.
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    Forecasting is very important on for the business and when it comes to enterprises, it would be more critical to collect the data from various systems, application into once place and analyze it together so that you can get the complete picture about the forecast.

What have our customers achieved?

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    Developed strategies for the future through predictive analytics to stay one step ahead of the competition.
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    Prepared for new budgets and portfolio management by measuring and forecasting business needs.
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    Planned for risks and new opportunities in the market by assessing market needs and customer expectations.
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    Undertook studies with SGS industry consultants to find uncertainties in the business which lie ahead by having a strategic focus on portfolio management.

Ecosystems