Big Data Analytics

Understanding and capitalising data has always been our strength. With over 20 years of experience, we’ve supported industries ranging from healthcare to oil and gas to retail while helping them solve technical and technological challenges.

From ODS to data curation to AI and MI, our team of certified cloud and analytics engineers will provide you with the expertise to adapt and scale according to your business needs. We help you gain a competitive edge in the market.

Getting Business Value out of data that you traditionally would not be able to use in a cost effective manner

Our People – Technical Excellence

11 certified Solution Architects
4 certified Solution Architect Professionals

16 certified Developers
2 certified Developer Professional

4 certified SysOps Administrators

4 certified Analytics Professional

2 Hadoop / Sparks expertise

4 certified Business Continuity Professionals

4 certified Data Centre Professionals

3 certified Project Manager Professionals

3 certified VMWare Professionals

2 Data Analysts certified in Data Integration

Focuses on business process instead of technologies.

Understand business priorities and processes

Assess your data and analytics opportunities

Inventory available internal and external data sources

Build data and analytics strategy and roadmap

Demonstrate the potential value through POC.

Traditional data integration tools with Extract, Transform and Load (ETL) initiatives takes too long, costs too much and delivers too little.

We will help you build a platform that would best suit your data needs.

What is a Data Lake?

A data lake is a central location in which to store all your data, regardless of its source or format or volume. The data are stored as-is and without the need to pre-modelled or altered. Data are being transformed as and when it arrives or as and when they are required.

Descriptive, Diagnostics, Predictive, Prescriptive, Real-Time, Artificial Intelligence and machine learning analytics can be performed to improve better business decisions.

Data Lake and
Operational Data Store

Designing a successful Data Lake is an intensive endeavour, requiring a comprehensive understanding of the technical requirements and the business acumen to fully customize and integrate the architecture for the organization’s specific needs

Strateq can assist in the setting up, configuration, maintenance and management of your data lake and operational data store (ODS)

• Strategize Data Management Platform

–    ODS or Data Lake

–    On-Premise or Cloud Strategy

• Implement and Configure

• Security and Data Governance

• Operation and Execution

• Onboarding and ingesting data methodology

• Data curation and engineering pipeline Managed Services

Building effective dashboards is an art. It is about having the right information for the right audience through the right medium at the shortest time possible.

• Best of Breed Products

• Flexible Visualizations

• Dashboard and Scorecards

• Data Prep

• Self Service Analytics

• Time Visualizations

• Geospatial and Location Based

• Build Once and Deploy to all Devices

Utilising a combination of sophisticated analytical our team can provide insights into past trends, run forecasts to make calculated predictions of future outcomes & advise on actions to optimise future results.

• Predictive modeling and data mining

• Artificial Intelligence and Machine learning

• Data science and engineering

Vitals 360

Consolidate and streamline all your data to optimize clinical and business decisions

Assets 360

Streamline operations as you track your resources with our Assets and People Tracking Real Time Location System (RTLS)

Retail Analytics

Elevating the customer experience through predictive targeting

STQ Chat

STQ CHAT Intuitive Chatbot technology to engage your customers in a natural and friendly manner

Financial Advantage

Integrate all your financial data and accelerate time in key decision making

Spend Analytics

Reduce operational costs by gaining clarity in your spend data

Want better data? Let's talk.

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