Atreus Global
BIG DATA AND ANALYTICS

Every year, companies are seeing dramatic increases in data coming from more and more disparate sources. We provide organizations a means to manage the rapid growth in data volume and complexity, while at the same time, exploiting that data to achieve quicker business insight. With the ability to process hundreds of billions of rows of data in seconds, it doesn’t just enable management to move its organization to the highest levels of competitiveness.

Working with partnering solutions and using open source technology, Atreus Global is able to bring innovative technologies and big data management products for storing and analyzing data that was previously ignored because of technology limitations. These new technologies have more than proved their worth in niche or standalone systems, but need to better integrated with existing corporate environments.

Atreus Global | Big Data and Analytics

BIG DATA

WHAT IS BIG DATA

  • High Level Overview and Education
  • Big Data Growth
  • Big Data being used in Organisations
  • Technology and fit with current Landscapes and Ecosystems
  • Demonstrations and Discussions

WORK SHOP AND TRAINING

  • Installation – Hadoop, Hive, HBase, MapReduce, Flume and other related technologies based on your business
  • Data Loading
  • Cluster Setup
  • Configuration and Data Retrieval
  • Handling Unstructured Data – Internet, Twitter and other Social Media
  • Dashboards and User Interfaces to display Big Data Analyticss

PROOF OF CONCEPT AND BUSINESS SCOPING

  • Case specific big data scenarios
  • IT Landscape Assessment
  • Impact Analysis and Solutions to implement Your Big Data

PROJECT FRAMEWORK AND IMPLEMENTATION

Atreus Global | Big Data and Analytics

ANALYTICS

DESCRIPTIVE

We can work with you to allow you to condense big data into smaller, more useful nuggets of information. Using this information, we will able to identify and summarize what happened in your business that may otherwise not be directly visible or known without manual calculations and gathering several unrelated reports.

An example would be examining historical electricity usage data to help plan power needs and allow electric companies to set optimal prices.

DIAGNOSTIC ANALYTICS

Based on Descriptive Analysis, this will enable you to understand why any issues identified actually happened. Knowing why problems occurred will enable to make improvements in your business where necessary for future ways of working.

PREDICTIVE ANALYTICS

We utilizes a variety of statistical, modeling, data mining, and machine learning techniques to study recent and historical data, thereby allowing our analysts to make predictions about the future. Using this technique will able to forecast what might happen in the future and helping you to make more valuable decisions.

An example would be for an organization that offers multiple products, it can help analyze customers’ spending, usage and other behavior, leading to efficient cross sales, or selling additional products to current customers. This directly leads to higher profitability per customer and stronger customer relationships.

PRESCRIPTIVE ANALYTICS

We go beyond descriptive and predictive models by recommending one or more courses of action and showing the likely outcome of each decision. When we need to prescribe an action in the business, the business decision-maker can take this information and act accordingly. We don’t predict one possible future, but rather multiple futures based on the decision-maker's actions. It not only anticipates what will happen and when it will happen, but also why it will happen.

These prescriptions can be customized and based on mathematical algorithms that we will develop based on your business requirements.

An example would be an energy and utilities organization. Natural gas prices fluctuate dramatically depending upon supply, demand, econometrics, geo-politics, and weather conditions. Gas producers, transmission (pipeline) companies and utility firms have a keen interest in more accurately predicting gas prices so that they can lock in favorable terms while hedging downside risk. Prescriptive analytics can accurately predict prices by modeling internal and external variables simultaneously and also provide decision options and show the impact of each decision option.

Atreus Global | Big Data and Analytics

 

CONTACT OUR BIG DATA TEAM TO SEE HOW WE CAN HELP ACHIEVE SUCCESS WITH YOUR BIG DATA AND INFORMATION MANAGEMENT.

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