Synq is a reliability platform helping with error detection, ownership, incident management, and resolution workflows to provide data teams with a toolkit on par with tools used by software engineers.

Helping data teams become first-class citizens:

We believe data teams should be treated like first-class citizens in their organizations, rather than living in the shadows of software engineers. This will be good for data teams and the business as a whole – increasing the positive impact data can make.

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Synq

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

Software applications and associated services dedicated to analysing business information, presenting it in a clear way, so that the right business decisions can be made, and strategies adopted, to seize opportunities, solve problems, and mitigate risks.

Business Intelligence Software / BI software and services

Providing technical and advisory services to enable Artificial Intelligence and Machine Learning to be integrated into business applications, be they Software as a Service / SaaS applications or applications directly provisioned and hosted on corporate networks.

AI and ML Integration

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

Delivering technologies to enable insight into company data, to understand the full life cycle of data, from when it was created or when it entered the system, to when it left, so that issues and anomalies can be identified and resolved.



The objective of Data Observability is to prevent system and business issues caused by incomplete or corrupt data, and also to flag issues relating data access (either due to poor data access policies, or due to data leakage / system breach).

Data observability includes origin, currency and accuracy, integrity, and history (when created, updated, interacted with, and by who or what).

Data observability covers data ingestion, storage, transformation, analytics, and output.

Data Observability

IT is the world of Information Technology, and covers everything to to with computer hardware, computer software, information stored on computers, whether in the cloud, or on premise in your own data centre.

IT includes storing, processing, creating or changing data on a computer system - from managing your company accounts, to running your company factory, to creating amazing films, music, art and literature.

IT is at the heart of our world - with applications getting easier and faster to use, and doing more and more for us.

From smart fridges, to smart houses to smart cities - the beauty of efficiency and automation, versus the worries over data privacy, camera surveillance, and govt needs to know, versus an individual's right to privacy.

From cyber currency to cyber crime, from information clarity to online manipulation, troll farms, the dark web, and cyber crime.

This is all the area of IT.

Reliability Platform for business-critical data