Data science, artificial intelligence and machine learning all buzzwords we are hearing more and more often. Their definitions have been bastardised by marketing departments the world over, however, due to the increase in the data available to organisations, the lower cost and higher availability of processing that data, and genuine advances in the field of artificial intelligence, there are great gains to be had for businesses of all sizes in investing in this area.
Rittman Mead's Insight Lab is a data science service that provides a lightweight starting point to gain insights and understanding of how your data can help you before embarking on large scale data science projects.
Introducing data science into your business will not only require an understanding of relevant tools, processes and technologies, but also an understanding of the underlying data, where it comes from and your business processes. For any analytics work, the first stumbling block is always obtaining, tidying and transforming the source data. With our experience in both data engineering and building machine learning models, we can offer an end-to-end advisory service.
We will advise which metrics and/or data would best impact your business, this is why our initial engagement is centred around understanding your business processes and available data.

Oracle's all-encompassing on-premise analytics offering, Oracle Analytics Server (OAS. OAS offers a feature-rich analytics platform that meets both end-user and centralised IT needs. OAS combines new world augmented analytics capabilities like data preparation, insight generation and data explanation with a robust and secure enterprise reporting platform.
Existing OBIEE customers are automatically licensed for OAS, meaning that organisations can immediately take advantage of a tool that will undoubtedly encourage users and departments and the whole organisation to become more data driven.
Rittman Mead's fixed price OAS upgrade service gives organisations a risk-free and cost-effective way of moving from OBIEE to OAS with a focus on implementation

• Engage more users with cleaner visualisations and additional features
• Spend less time on data preparation, let the in-built AI/ML features enrich your data automatically
• Let OAS automatically generate insights found within your data sets
All of the above will promote efficiency within operational, sales and also delivery teams
The result will be a working and tested, as per regression test pack, environment and documentation ready to release to a user acceptance testing (UAT) environment and then to production.