Data to results.

Data to delight.


The past several years leading to an explosion in digital data flows and the Internet of Things has given rise to new opportunities for virtually every industry sector. While customers are increasingly empowered with access to more and more information, businesses need to be able to move and service them swiftly and with greater proactivity. They need to anticipate next moves in order to remain relevant. At the same time, they need to exercise tight and timely control on various elements of risk and cost.

Our experience combined with our business analytics engagements suggests that most organisations are facing some of the following challenges while trying to derive benefits by being a data-driven organization:

  • Senior-leadership capacity to manage the program
  • Integration of data technology into existing systems/business models
  • Ability to capture relevant data from various sources in the business
  • Ability to accurately analyze data & interpret the results
  • Identifying the associated risks

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Sciente Consulting partners with it’s clients to help answer the key question of how to derive actionable intelligence and valuable business insights from the large volumes of data that are continuously being generated from applications across the business, and also from social media, email, sensors, voice, video and so on, both internally and externally.

Our business technology consultants bring together analytics, domain and IT skills as required to provide descriptive and discovery analytics, and to also provide decision support in the form of predictive and prescriptive analytics based on modelling, statistical and simulation.


Sciente Consulting provides a number of different analytics services to the industries that it focuses on.

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Our perspective of client delight being derived from data analytics starts with a view of the business and then draws upon the skills and capabilities required to achieve the results. While we let the business solution strategy drive the selection of tools, techniques and technologies, we also maintain readiness to fully complement our clients’ efforts in the four core areas that come together to produce analytics solutions.

Data Management and Control

  • Inventorying Assets
  • Data Management System Strategising and Planning
  • Implementing the New Data Management System

Data Science

  • Function Analysis
  • Regression
  • Forecasting
  • Segmentation
  • Modelling
  • Simulation

Business Intelligence

  • Data Preparation and Integration
  • Data Quality
  • Data Mining
  • Reporting
  • MDM
  • Cross-platform dashboards
  • Visualization

Big Data

  • NoSQL databases
  • Hadoop and Big Data framework components
  • Machine learning

Industries