DATA AND MACHINE LEARNING

GET YOUR DATA UNDER CONTROL. PUT THE KNOWLEDGE IN THE RIGHT HANDS.

Main Keywords

DATA ENGINEERING

ANALYTICS

MACHINE LEARNING

DATA SCIENCE

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INFORMATION IS USEFUL IF IT IS AVAILABLE WHEN YOU NEED IT.

Is your data lost in different silos like various IT systems? Are you using a dozen different SaaS and do not have an overview of what is happening in your business? You are not alone.

From knowing what happened (descriptive analytics), high-performing companies need to know what will happen (predictive analytics) and what actions they should take (prescriptive analytics).

Techniques such as Machine Learning, Deep Learning, Optimisation, Clustering Analysis or Predictive Modelling generate insights and enable better business decisions, improve operations, create smarter products and deliver superior customer experience.

We develop algorithms and customised mathematical models based on our Data Science, Analytics and Data Engineering experience, enabling companies to use the data at their disposal and convert it into a competitive advantage

But first, you need to get your data under control. Before doing any of the above, you need the right data strategy and architecture.

BENEFITS

EVERY ORGANISATION FACES UNIQUE CHALLENGES AND PRIORITIES WHEN IT COMES TO DELIVERING VALUE. DATA-LED TRANSFORMATION LEVERAGES MODERN PLATFORMS, AI AND A STRONG DATA FOUNDATION TO DELIVER SUSTAINABLE GROWTH.

OPERATIONAL EFFICIENCY

Enable operational efficiency that provide the flexibility to support changing business requirements and priorities, improving your responsiveness, agility and speed to value.

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NEW PRODUCTS AND SERVICES

Differentiate your organisation by leveraging data and AI to extend into new domains, reinvent your offerings and evolve with the confidence you can scale to meet changing demand and priorities.

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WHY TO INVEST IN DATA SOLUTIONS?
17%

OF EXECUTIVES FELT CONFIDENT THEY HAD THE NECESSARY INFORMATION AND INSIGHTS TO MAKE INFORMED BUSINESS DECISIONS DURING THE PANDEMIC.

10-20%

REVENUE GROWTH WHEN DIGITAL OPERATING MODELS ARE USED TO DRIVE AGILITY AT SPEED.

75%

OF EXECUTIVES PLAN TO ACCELERATE DIGITAL TRANSFORMATION, INCLUDING AN EMPHASIS ON MOVING TO CLOUD (26% INCREASE COMPARED TO PRE-COVID).

81%

OF ORGANIZATIONS LACK AN ENTERPRISE DATA STRATEGY TO FULLY CAPITALIZE ON THEIR DATA ASSETS.

17%

OF EXECUTIVES FELT CONFIDENT THEY HAD THE NECESSARY INFORMATION AND INSIGHTS TO MAKE INFORMED BUSINESS DECISIONS DURING THE PANDEMIC.

10-20%

REVENUE GROWTH WHEN DIGITAL OPERATING MODELS ARE USED TO DRIVE AGILITY AT SPEED.

75%

OF EXECUTIVES PLAN TO ACCELERATE DIGITAL TRANSFORMATION, INCLUDING AN EMPHASIS ON MOVING TO CLOUD (26% INCREASE COMPARED TO PRE-COVID).

81%

OF ORGANIZATIONS LACK AN ENTERPRISE DATA STRATEGY TO FULLY CAPITALIZE ON THEIR DATA ASSETS.

17%

OF EXECUTIVES FELT CONFIDENT THEY HAD THE NECESSARY INFORMATION AND INSIGHTS TO MAKE INFORMED BUSINESS DECISIONS DURING THE PANDEMIC.

10-20%

REVENUE GROWTH WHEN DIGITAL OPERATING MODELS ARE USED TO DRIVE AGILITY AT SPEED.

75%

OF EXECUTIVES PLAN TO ACCELERATE DIGITAL TRANSFORMATION, INCLUDING AN EMPHASIS ON MOVING TO CLOUD (26% INCREASE COMPARED TO PRE-COVID).

81%

OF ORGANIZATIONS LACK AN ENTERPRISE DATA STRATEGY TO FULLY CAPITALIZE ON THEIR DATA ASSETS.

TAKE THE RIGHT STEPS

1. EXPLORE

Exploratory data analysis with techniques like clustering to identify patterns, trends or groups. Get a better understanding of what kind of questions can be answered.

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3. PREDICT

Development of data-driven or analytical models that predict the future or classify samples.

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2. INTEGRATE DATA

Scattered data across IT systems is a common challenge. We integrate data from different sources into a common repository or data lake.

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4. VISUALIZE AND ACT

Get insights and early warnings based on analytics or predictions.

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INDUSTRIES

AIMED AT DIFFERENT INDUSTRIES. LET’S CUSTOMIZE ONE THAT MEETS YOUR SPECIFIC NEEDS .

CASE STUDIES
FROM OPEN SOURCE TO LEADING CLOUD TECHNOLOGIES FOR DATA AND MACHINE LEARNING

WE TAKE THE RIGHT TOOL FOR THE JOB

The practice of data science requires the use of machine learning frameworks extensively. Now, this could be for many reasons but largely to automate the processes that drive their business forward.

Our team has hands-on experience with various open source Data Science and Machine Learning frameworks such as scikit-learn, Tensorflow, Keras, Pytorch or Spark as well as data and cloud platforms like Azure and AWS.

We are also skilled at Palantir Foundry.
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WE WOULD LOVE TO LEARN ABOUT YOUR CHALLENGES AND VISION FOR THE FUTURE.