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Big Data Analytics

Big Data is vital to the competitiveness of almost every organization. Strategic delivers Big Data specialists from every continent, with a wide range of skills and experience. Strategic can deliver the resources that best fit your needs based upon your project needs and budget.

The concept of big data has been around for years; most organizations now understand that if they capture all the data that streams into their businesses, they can apply analytics and get significant value from it.


Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. Big data analytics is a field that creates ways to analyze and systematically extract information from data sets that are large and complex. With today’s technology, it’s possible for any organization to analyze data and gain competitive actionable intelligence practically in real-time.

Many companies struggle to figure out how to use analytics to take advantage of their data. This scenario of struggling to manage, and extract value from, ever-increasing amounts of data, and properly utilizing the right analytics tools to do so as fast and inexpensively as possible, is where Stategic can help.

The hard work necessary to extract actionable intelligence from your data is a daunting task without the skills, experience, and tools necessary to do so efficiently. It is difficult to understand what data your organization has, to monitor the many processes necessary to make data usable and actionable (accurate, timely, complete, accessible, reliable, consistent, relevant, and detailed), and to improve your ability to use the data for yourbenefit.


Big data challenges include capturing, storing, analyzing, searching, sharing, transfering, visualizing, querying, and updating data sources. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. 

Some of the most important benefits that big data analytics brings to an organization are speed and efficiency. Traditionally, a business would take weeks or months to gather information, analyze it, and identify information that could be used for future decisions. Today, that information can be immediately identified and surfaced, and presented along with actionable insights, leading to real time decision making. This ability to retrieve insights from data in real-time gives organizations a competitive edge they didn’t have before.

Why is big data analytics important?

Big data analytics helps organizations harness their data and use it to identify new opportunities. This benefit leads to more efficient operations, higher profits and more customer satisfaction.


Big Data produces organizational value in the following ways:

  • Cost reductions often result from big data technologies, such as Hadoop and cloud-based analytics, that can create significant cost savings when it comes to storing large amounts of data

  • Real-time decision making is enabled by the speed of the newest database technologies, and in-memory analytics, combined with tools that improve the ability to quickly analyze new sources of data, thus allowing organizations to analyze information immediately and make timely decisions based on what they’ve learned

  • The ability to understand customer needs and satisfaction levels in real-time, through analytics, enables organizations to give customers what they want, when they want it, by allowing them to more easily, and quickly, create products and services that meet customers’ current needs

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