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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.
Some companies prefer to outsource data analytics. Fortunately you can use JTA to form a virtual team to manage your outsourced data analysis. Our team would typically access your data and your infrastructure and do the analysis remotely.
Over the last decade, there has been an exponential increase in quantity of data. A specialist service provider can analyze this data. Most organizations do not have in-house analytics capabilities or sufficiently skilled employees.
By outsourcing to an experienced provider a company will receive a lot of guidance in the type of analysis that is appropriate to their particular business objectives. They can also experiment with data science initiatives without entering into a significant commitment.
Outsourced data science can form a vital part in a larger strategy project whereby a company can experiment, decide on a direction and then implement.
JTA shines at data analytics outsourcing due to many factors:
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 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
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
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
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
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
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 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
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
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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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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