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.
When we join two data sources using text there is often not a perfect match. Being able to match the two sources is vital to good analysis and we have a proven track record and methodology. We apply statistical and machine learning techniques to textual data to extract information and sentiment from the data.
It is very common for businesses to have many versions of the same data. For example, a business may have customer records in systems for contact management, licensing, sales and finance. The situation is often made worse when a business wants to access external data for its customer from a third party.
It is rare to find that all the systems have the same name for each customer. This happens naturally as it is common to abbreviate many parts of a company’s name. These differences in description can also prevent sales processes from operating correctly and will impact revenue generation.
We help our clients to improve their business performance by leveraging superior data and insights across their organization, growing their knowledge and developing impactful go-to-market strategies, audience targeting and nurturing of prospects.
We can deploy a variety of fuzzy matching and direct matching techniques to solve these issues. On a recent sales matching project, we were able to increase the match rate from 18% to 92%.
Text matching can be fraught with problems. Here are some techniques recommended by JTA to make your text matching exercise a success:
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.Read More
Market segmentation involves dividing customers into groups of people with similar characteristics or interests in order to make your marketing more effective.Read More
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.Read More
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.Read More
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.Read More
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.Read More
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.Read More
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.Read More
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.Read More
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.Read More
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.Read More