Advanced Analytics

Revenite are data platform professionals and have experience in helping organisations get the most out of their data. Whether it be descriptive, prescriptive or predictive analytics we can tailor the right architectural design and technical delivery to meet your needs.

 

predictive analytics

The ability to mine data for patterns of behaviour is now driving a specialisation around predictive analytics.  With the right strategies in place, predictive analytics techniques can help grow business profitability, improve customer satisfaction and reduce operational risk. 

The key is identifying a business problem that can be solved using advanced analytical techniques, so that data science teams can prepare the data, ingest and transform that data to generate models for interrogation. 

Benefits

The benefits of Predictive Analytics are that they can help your organisation to analyse large volumes of data and suggest patterns of behaviour which are impossible to identify without machine assistance.  Predictive models can supplement understanding of how people and systems functions in the real world under different conditions and constraints. 

Typical Engagement approaches:

  • Identify business problems that could benefit from the ability to predict future outcomes where significant historic behaviour/history exists.  Develop a classification or regression model using Machine Learning techniques.

  • Where there are large volumes of data with non-obvious relationships, use Machine Learning to find patterns which can be used to “cluster” the data for further analysis (e.g. customer, product segmentation).  

Want to test the waters before you deep dive into your Analytics or Reporting Platform?

Revenite offers Kick Starter programs which provides a low investment, low risk approach to quickly assessing and proving out the viability of your use case.


advanced analytics delivery services

 

Revenite have a proven Advanced Analytics Methodology which enables us to provide right fit design and build for your analytic hypotheses.

Design and build analytic solutions including:

o Sentiment analysis

o Predictive analytics

o Clustering

o Customer Churn

o Basket Analysis

Built on the following Microsoft Platforms:

o Azure Machine Learning Studio

o Azure Data Bricks

o Power BI


OUR DELIVERY METHODOLOGY

 This diagram illustrates Revenite’s methodology towards data analysis and advanced analytics.  It is essentially a circular process that encourages iterative evolvement of data models for the purposes of generating insights and supporting better decision making.

This diagram illustrates Revenite’s methodology towards data analysis and advanced analytics.

It is essentially a circular process that encourages iterative evolvement of data models for the purposes of generating insights and supporting better decision making.

 

Collect and Integrate

Integrate data from all operational systems to provide a complete picture of your organization’s data.  Monitor data quality and raise exceptions. Automate as many processes as possible and look for opportunities to continually improve.

Analyse and Understand

Access to more comprehensive, relevant, accurate and timely information will assist in understanding all facets of your organisation and will support more informed decision making.

Predict and Optimise

Apply Data Science to identify patterns and trends in the data not immediately obvious to the human eye.  Segment your customer base and build models to predict future behavior. 

Personalise and Learn

Apply all of the intelligence to providing your customer with a personalised and tailored experience.  This means optimising communications, and providing customers with timely and relevant product/service offerings.  Observe, learn and respond based on customer behavior