A Tlou Group Subsidiary · Since 2006

Touch Data Analytics

Innovating and bridging the Technology gaps in Business and Society.

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Industries Covered

Government Logistics Telecoms Financial Transport Health Banking Construction

About Us

Technology Partner · World Class

We have been around since 2006. We have extensive expertise in working on both local and international projects.

Our team has more than 30 years' collective experience in providing ICT consulting services and delivering innovative solutions.

Touch Data exists to provide interface platforms between its clients, markets, data and suitable world class ICT solutions covering various industries.

Capability Stack

Artificial Intelligence · Augmented Reality and Virtual Reality · Cognitive Cloud Computing · Angular and React · DevOps · Internet of Things (IoT) · Intelligent Apps (I Apps) · Big Data.

Touch Data Analytics — data and technology consulting

Our Approach

Cutting Through the ICT Clutter

This is the result of our well embedded approach that delivers service orientated and support focused solutions by cutting through the ICT clutter and jargon to arrive at only the best possible outcome desired by our client partners:

Value

Solutions measured by what they are actually worth to the business — not by the size of the technology stack behind them.

Return on Investment

Every engagement is built to demonstrate recognisable ROI against the business case that funded it.

Trust in their Technology Partner

Long-standing client-partner relationships built on professionalism, respect, integrity and honesty.

What We Do

Services

Modernisation & Migration

Five delivery models covering the move off legacy platforms — from an in-memory database on your own floor through to a fully managed multi-tenant edition.

Legacy Move to an In-Memory Database

Migration of legacy platforms onto an in-memory database — the foundation for real-time reporting and analytics.

Managed In House on Azure

Infrastructure managed by Microsoft on Azure, with the platform managed in house by your own team alongside our consultants.

Managed by Tlou on Azure

Platform-as-a-Service on Azure fully managed by Tlou — from operating system up through middleware, runtime, data and applications.

STE (Single Tenant Edition)

A single-tenant managed platform — dedicated isolation with managed operations and security.

MTE (Multi Tenant Edition)

Multi-tenant edition with the entire stack managed for you — the fastest route to value.

Not sure which model fits?

We assess your current estate
We map the migration path
We run it, or hand it over

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Business Intelligence

Best practice areas — turning data into information, and information into knowledge that optimises decision making.

Customer Intelligence

Best practice processes of gathering and analyzing information regarding customers, and their details and activities, to build deeper and more effective customer relationships and improve decision making by vendors.

Dashboards / BI

Best practice processes that consist of the tools, technologies, and processes involved in turning data into information and information into knowledge to optimize decision making. BI encompasses data warehousing, data integration, reporting, analysis, and data mining technologies, manages operations.

Enterprise BI

Best Practice Enterprise business intelligence platforms provide a higher capacity for data management and analytics. Using data to create a holistic view of the business can lead to critical efficiencies. When data collection and analytics remains project or team focused, essential information gets siloed, and companies risk inefficiencies, redundancies, and potential mission conflicts between teams.

Data, Analytics & ICT Consulting

Data integrity at the foundation, predictive analytics on top, and consulting that carries it into the business.

Data Quality

Best Practice processes for the Enterprise Data Management Maturity Model recognize that an examination of people, processes, and technology identifies ways to improve data integrity. Greater process maturity should mean greater business benefit(s):

Reduced Cost
Greater Efficiency
Reduced Risk

Predictive Analytics and IOT

Predictive analytics makes use of various statistical and analytical techniques to predict the setting used by the IOT devices. It makes use of machine learning to make the process of prediction a lot easier.