Analytical Software Adaptation
From general open source and proprietary software, such as Python, R, and SAS, to the more recent machine learning frameworks, we know how to match the science to the data.
We work with your IT resources, be they internal or consultants, to recommend supporting technologies such as data lake solutions, distributed computing technologies, and cloud service providers.
Collaborative Analytics LabGet hands-on experience with software you are considering on a real platform, with real use cases, guided by consultants from Ensar at your side.
SAS Analytics Modernization
Your analytics shop may have been around a while and feels the need to "catch up" with the latest developments in SAS technology. This high-level overview shows you how we can help you make your SAS analytics infrastructure current.
Typical problems we help you to solve
Some of the challenges and issues that you may be encountering:
- You have incumbent channel-centric technologies which cannot give you the granularity or cross-channel completeness of data that you need today.
- Much of customer data that you collect is 3rd party, reducing your ability to control and access your data and increasing your regulatory risk.
- You can’t understand context around behaviours because you lack data about what customers experienced e.g. order of flights shown or stock levels indicated.
- You are missing the real-time data you need to power customer interactions through website personalisation and multi-channel marketing communications.
- You spend too much time and money capturing, integrating and wrangling data rather than analysing and driving business value from it.
- Your single customer view initiative has stalled whilst your competitors and industry disruptors are moving ahead at speed and impacting your success.