Data Engineering & Business Analytics

Eutopia Systems, with a vision of touching 1% of global businesses and helping them transform their businesses by harnessing the power of Software Robotics, Cognitive Computing, Artificial Intelligence and Analytics; focuses on Intelligent Automation and Data Engineering & Business Analytics.

Our offerings in the area of Data Engineering & Business Analytics include:

Visual Analytics

Visual Analytics describes the presentation of abstract information in graphical form. Data visualization allows us to spot patterns, trends, and correlations that otherwise might go unnoticed in traditional reports, tables, or spreadsheets.

Studies show that humans respond to visuals better than any other type of stimuli. The human brain processes visual information 60,000 times faster than text. In fact, visual data accounts for 90 percent of the information transmitted to the brain.

Today’s businesses have access to a vast amount of data generated from both inside and outside the organization. Data visualization helps you make sense of it all. It enables you to look at data differently to discover new answers and insights by:

Tell a Visual Data Story

Go beyond simply presenting numbers and facts. Capture insights as visual stories. Build narratives around your data so that its relevance is clearly communicated and easy to understand.

Recognize the Signals from the Noise

A picture really is worth a thousand words. A single graph conveys complex issues far more clearly—and enables users to identify outliers and anomalies much faster.

Master a Growing Volume of Data

The digital universe is expected to double in size every two years. But you don’t have to be overwhelmed. By transforming data into simple visuals, it becomes more meaningful to decision-makers. Visual interaction with large datasets simplifies the analytic process, revealing new business insights that can be turned into a competitive advantage.

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Descriptive Analytics

Descriptive analytics does exactly what the name implies they “Describe”, or summarize raw data and make it something that is interpretable by humans. They are analytics that describe the past. The past refers to any point of time that an event has occurred, whether it is one minute ago, or one year ago. Descriptive analytics are useful because they allow us to learn from past behaviors and understand how they might influence future outcomes.

The vast majority of the statistics we use fall into this category. (Think basic arithmetic like sums, averages, percent changes). Usually, the underlying data is a count, or aggregate of a filtered column of data to which basic math is applied. For all practical purposes, there are an infinite number of these statistics. Descriptive statistics are useful to show things like, total stock in inventory, average dollars spent per customer and Year over year change in sales. Common examples of descriptive analytics are reports that provide historical insights regarding the company’s production, financials, operations, sales, finance, inventory and customers.

A common example of Descriptive Analytics is company reports that simply provide a historic review of an organization’s operations, sales, financials, customers, and stakeholders. It is relevant to note that in the Big Data world, the “simple nuggets of information” provided by Descriptive Analytics become prepared inputs for more advanced Predictive or Prescriptive Analytics that deliver real-time insights for business decision making.

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Database Services

Databases are the foundational layer of Enterprise Information Management architecture. Constant changes in business environment, upgrades in database technologies and ever-increasing size of data makes database administration all the more difficult to manage today. Furthermore, it is imperative for organizations to ensure high availability and integrity of its mission critical databases to ensure business continuity 24X7.

Eutopia Systems offers expert consulting services in the areas of data modelling, Transaction Management, Database Schema Review & Configuration, Data & Function Replication Services, Data Migration, upgrades, Admin and Support services. We also provide recommendation for Performance Tuning across industry standard RDBMS. In addition to relational database technologies, we have in-depth expertise in database appliances and have specialized in latest technologies including in-memory databases and NoSQL databases.

With our certified and experienced pool of specialists in database technologies we offer a wide spectrum of services, ranging from database consulting to support and maintenance to meet all your enterprise database management needs.

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Big Data Engineering

Big data describes a holistic information management strategy that includes and integrates many new types of data and data management alongside traditional data. Our big data engineering team helps companies use larger and broader data sets that are both structured and unstructured, to answer complex business problems.

While big data is a commonly used term, many companies struggle to understand what it means and what it can do for them. They often incubate ideas around big data, but find it difficult to gain the traction and momentum necessary to leverage newer technologies in the data space.

Eutopia offers a broad set of services in big data and advanced analytics, including:

Big data strategy

To understand the company’s business and technology objectives and identify how big data can accelerate these them. This encompasses architecture and adoption strategies as well as defining a roadmap for big data

Architecture strategy

To help evaluate solution options for a big data ecosystem, including cloud vs. on-premise, technology options, etc.

Advanced analytics strategy

To help companies accelerate their advanced analytics capabilities, including identifying use cases for advanced analytics, building business case for advanced analytics, etc.

Our team of domain / industry experts, advisory consultants, data scientists, and architects bring a comprehensive view of how big data and advanced analytics can help enhance how you use your strategic data assets.

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