Connecting Data, 

Technology & Teams Delivering cloud analytics solutions to help businesses achieve their goals

thumbnail_snapanalytics.png

snapanalytics.png

Snap Analytics

Systems and services related to getting value and competitive advantage from your company data.  Analytics can be descriptive, diagnostic, predictive, or prescriptive.

Data analytics applications include marketing, portfolio, risk, people, software, and digital analytics. 

**Marketing optimisation analytics**

Determining how effective marketing campaigns are and guiding marketing decisions and strategy

**People analytics**

Analysing behavioural data to understand how people are managed, how they perform, and helping improve the Human Resources function within organisations, and ultimately the overall performance of the company itself.

**Portfolio analytics**

Using analytics to understand value and risk in a portfolio - be it of lenders, stock holdings, financial holding etc. - and then drive strategy to minimise risk and optimise returns.

**Digital analytics**

Analysing "digital data" relating to computerised and internet activities.  Digital data includes user clicks, user behaviour, keyword searches, etc.

**Security analytics**

Analysing data either on premise or in the cloud to flag cyber threats, cyber threat actors, cyber attacks, and to deliver post breach forensics on an attack.

Data Analytics

Enabling a company to bring together all its disparate data repositories, so that it can be analysed as a whole, and deliver a single source of truth. 

Data integration

Consultancy and technology to aid the design and implementation of the data mesh framework.  The data mesh framework enables companies to move from a complex monolith architecture for data management, to a distributed architecture, where data is segregated by domain, and where data becomes easier to manage, and easier to get benefit from. 

Conceived by the company ThoughtWorks, who defined four principles of Data Mesh: "domain-driven ownership of data", "data as a product", "self-serve data platform" and a "federated computational governance".

"domain-driven ownership of data" and "self-serve data platform"
..enabling self-service and greater autonomy of operation where domain experts can directly leverage benefits from the related domain data.

"data as a product"
...rather than seeing data as an output that ends up in a lake, seeing it as a product, to leverage, exploit and gain ROI.

"federated computational governance"
...where the data producers set the data governance policies,  each team or domain expert governs the data they produce and use. 

Data Mesh

A force for innovation. Harness the winds of innovation to inform, perform and transform.