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Your Trusted Data Science Partner

We have been delivering data solutions for 20 years converting your data into insights. We won’t discriminate: Your data can be traditional or big-data; historical or real time – it is all the same to us.

We offer a comprehensive selection of Data Solutions, any of which can be tailored to your precise needs. Any of our Data Solutions can run on a variety of technologies or platforms and we would be pleased to offer your technology preference.

Our Data Solutions Services

Business Intelligence (BI)

Business Intelligence (BI)

From simple reports to complete BI strategy that fully meets your business needs, we can help. Enjoy the flexibility that mobile and self-service BI brings to an organization without re-inventing the wheel.

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Market Segmentation

Market Segmentation

Market segmentation involves dividing customers into groups of people with similar characteristics or interests in order to make your marketing more effective.

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Data Modeling

Data Modeling

We have built many market models for our clients over the years allowing them to better understand the dynamics of the market and also to measure their performance. Market models explain what happened in the recent past and also allow us to forecast what is likely to happen.

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Advanced Analytics

Advanced Analytics

We can apply complex algorithms and Machine Learning and techniques of predictive analytics to a great variety of problems. Advanced analytics is a subset of data science that uses high-level techniques to predict future trends and behaviours.

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Text Matching and Analytics

Text Matching and Analytics

Being able to match two data sources is vital to good analysis and we have a proven track record and methodology. We can also apply statistical and machine learning techniques to textual data to extract information and sentiment from the data.

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Data Processing

Data Processing

Good Data Science starts with a deep understanding of how data should be manipulated and stored. Traditional data and big data need different approaches but the underlying discipline is the same. The way we store data differs greatly and we can advise on how to adapt your platforms for better insight generation.

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Integrated Security

Integrated Security

We take integrated security very seriously at JTA. We have the most stringent security practices and hold ourselves to a higher standard than most. JTA can build dashboards that intelligently adapt their content depending on who is viewing it to help users comply with corporate accountability legislation.

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Predictive Maintenance

Predictive Maintenance

Predictive maintenance is a benefit that we can bring to an organization by predicting failures and quality issues. This can avoid downtime and reduce maintenance costs.

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Customer Churn

Customer Churn

Using data prediction to identify when a certain customer is at high risk of churn allow clients to prevent attrition and keep existing clients. This helps immeasurably and keeps you with one in the hand rather than two in the bush.

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Internet of Things

Internet of Things

The Internet of Things is the network of small devices that have an embedded processor to measure, control and connect to the internet. Many such devices benefit from sophisticated algorithms and data science techniques. We can develop solutions ready to roll out for deployment on the microcontroller.

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Outsourced Analysis

Outsourced Analysis

Companies which prefer to outsource data analytics instead of deploying a solution in-house can use JTA to form a virtual team to manage outsourced data analysis. Our team would typically access your data and your infrastructure and do the analysis remotely.

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Market Basket Analysis

Market Basket Analysis

Market Basket Analysis help companies understand how their customers make purchases. The objective is to help to configure sales promotions, loyalty programs and store layout.

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The Secret Recipe to Success

1
It is important to understand the basics of how computers work and how real life problems are translated to the computer’s ones and zeros. Many Data Scientists learn their trade through high level languages and don’t get a good understanding of low-level operations. At JTA we embrace the low level as it allows us to design more efficient techniques.
2
All processes need to be controlled and should include checks and balances. JTA has a control framework where we build-in automated controls to prevent or to detect any errors or problems. This makes our solutions more reliable.
3
Understanding how to detect and remove inefficiencies in algorithms is a dying art but very much part of the JTA DNA. We don’t just throw computing power at slow processes. We finesse the process so that it can operate with minimum resources. This makes our solutions cheaper to run and they give a better user experience.
4
Keep close links with academia but understand how to transition research into a solution that is suitable for corporate life. At JTA we refer to academic research a lot but we always adapt it to be more suited to our clients’ needs. We never use downloaded code from the internet without ensuring that it meets our high standards.

Frequently Asked Questions

What is Data Science?

In 2012 the Harvard Business Review called it “The sexiest job of the 21st century”.  Some claim that it is nothing more than a sexed-up term for statistics and so a lot of confusion reigns.  We believe that Data Science is a merger of many traditional disciplines, bringing together statistics, processes, algorithms and machine learning.  This means that it can have different interpretations but at its heart data science is the extraction of knowledge from data.

https://en.wikipedia.org/wiki/Data_science

If you would like to know some more then read about How JTA The Data Scientists does its work or have a look at some other FAQs.

You could also explore our case studies or whitepapers.

How Do I Become a Data Scientist?

It is necessary to undertake a journey to become a data scientist.  One of the best ways to become a data scientist is to join a reputable data science provider like JTA.  Data Scientists need to solve problems in a logical and analytical way.  Mathematical ability is important, and you will need to understand some algebra, statistics and probability.  If you can handle calculus, then so much the better.

The main languages used for Data Science are Python and ‘R’.  You will need to learn at least one of these languages.

Next, you will need to understand how data are stored and manipulated, however pay careful attention to big data concepts and techniques.

If you would like to know some more then read about How JTA The Data Scientists does its work or have a look at some other FAQs.

You could also explore our case studies or whitepapers.

What is the future of Data Science?

In the future of data science we will discover Causality without needing to understand the “why” or “how”.  As data volumes increase, we discover patterns that may trigger us to investigate why.  Data Science finds patterns so that humans solve problems that we didn’t know we had.  This has an immense impact on our lifestyles.  We will start to truly understand the impact on our lives, diets and behaviour.

If you would like to know some more about the future of data science then read about How JTA The Data Scientists does its work or have a look at some other FAQs.

You could also explore our case studies or whitepapers.

Related Case Studies


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