Business Intelligence and Analytics

To work on cutting edge client service to provide offerings to improve businesses spanning customer analytics, marketing analytics, digital analytics, database marketing, business intelligence including optimisation and conduct A/B testing experiments for B2B and B2C clients. Visionyle serves as strategic partner to our clients where we consult and deliver a wide range of business intelligence analytics. Our customer segmentation logics help clients to target customers precisely to improve customer experience by delivering appropriate marketing message at the right time to the right customer device.

Business Intelligence & Analytics Services

Marketing Analytics

Marketing analytics deal with promotions and strategies both on and offline. With marketing analytics, client will be able to monitor things like traffic, lead generations and conversion rates of customers. This will allow to see how effective marketing efforts are, and be able to see overall return on investments for each strategy. Marketing analytics can also track the progress of other platforms such as email campaigns, display, search and social accounts. This will give you specific information on what is most profitable for business and what needs to be changed.

Website Analytics

With web analytics, you will be able to see data such as the load times of your pages, the amount of time people are spending on your site, the bounce back rates and much more. While this can provide you a lot of information on the performance of your web presence, these tools mainly deal with the technical aspect of your website. Web analytics is also limited to your presence on the internet and will not be able to track how other marketing strategies are performing. This is where marketing analytics comes into play.

Predictive Modelling

We use cutting-edge technologies including Artificial Intelligence and Data Mining to develop web and mobile apps with Cognitive UI, at a cost that is up to 90% less. Across verticals, we build these apps in our proprietary rapid application development and delivery platform.

Data Mining

We apply Data Mining techniques to extract information from huge datasets to identify patterns and establish relationships to solve clients business problems. Specifically, customer data can be mined to improve lead conversion rates and to create personalised messages for appropriate customers. Data mining information on historical sales patterns and customer behaviours can be used to build prediction models for future sales, new products and services.

Data Visualization

We analyse clients data that describes pattern, tends, correlations that might go undetected in text-based data can be exposed and recognized easier with data visualization software tools such as Tableau, Qlikview and PowerBI. In the world of Big Data, data visualization tools and technologies are essential to analyse massive amounts of information and make data-driven decisions. Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data


We perform statistical significance test between control and experimental groups to check the best possible output to continue to run marketing emailer campaigns, and landing pages. The P-value (our statistical significance) is the probability of observing a statistic at least as extreme as those measured when the null hypothesis is true. If the p-value is less than a certain threshold (typically 0.05), then we don’t reject hypothesis H0. The success of a whole A/B testing depends on the right split into groups. It actually can vary in specific cases, but the main requirement is that the two samples should be homogeneous.

Skill Metrics

  • Business Intelligence building marketing dashboards
  • Data Mining
  • Marketing Analytics
  • Website Analytics
  • Predictive Modelling
  • Advanced Analytics
    • Apriori Algorithm
    • Anamoly Detection
  • Customer Analytics & Life Time Value Analysis
  • Conversion Rate Optimization
  • A/B Testing(with Statistics)