Introducing Anasight

Introducing Anasight

Capture. Analyse. Insight.

Between 2013 and 2020, the digital world will grow to unprecedented levels. The amount of data created will rise from 4.4 trillion gigabytes to 44 trillion.

Our clients have come to us asking that we help them to realise business value from this growing data and use the hidden insights to build truly market leading, insight driven businesses.

We have created a context rich, real time, machine learning, analytics engine that can analyse businesses internal and external communications to gain greater visibility. Ultimately it provides insight into potential opportunities and risks and enables leaders to act accordingly.

Anasight’s 3 modules create a simple to use, single world view of all data relating to internal and external communications to drive better decision making and better compliance.


Pano – Monitor and alert on the presence or absence of key words and phrases.

Aspect – Monitor and report on the frequency and standard deviation of sentiment of critical business metrics.

Fore – Reports on the sentiment and trends correlated to critical business incidents.



Why Anasight?

Data has huge inherent value, yet difficult to access and refine to realise its value.

Regulation is increasing, the number of communications channels is growing and the data generated is rising.


UNDERSTAND – Drive better behaviours and better business decisions

RECOGNISE – Recognise and act on business and market trends

TRANSFORM – BI that can be used, in real time, to transform compliance

REACT – Enable real-time reaction to potential non-compliant events

AUTOMATE– Natural Language Processing and Machine Learning driven analytics


The importance of design patterns


We have briefly mentioned the importance of design patterns in the first article of the series. We now elaborate a bit more and we will focus mainly on the Generic Repository pattern combined with the Unit of Work which are now used as standards for our new development at Synetec.

Let’s start by talking about the Generic Repository pattern. As already mentioned in a previous article it is very important to adopt an architecture that will allow the development team to grow in order to be able to bring new features to your application but also to make the collaboration between engineers as easy as possible. We will assume in this article that you are familiar with the basic N-Tier architecture.

The Generic Repository pattern can be seen as a mediator between the data tier and the business tier and like any pattern it has its pros and cons. For the positive:

  • The pattern provides an abstraction of the data logic
  • When implemented properly it facilitates the unit testing. It is easy to mock your repositories. Some great libraries save you a lot of time as you don’t need to write any stubs which can be timely
  • No repetition needed as the basic operations on your entities are taken care of by the pattern


As there is no such thing as a perfect solution in Software Development the Generic Repository pattern also comes with its negatives:

  • As we add a new layer of abstraction it means that we bring a certain level of complexity to our code base which can be more difficult to understand for junior developers
  • In some systems we might encounter some performance issues

Software is more and more complex nowadays and even in small applications we would find different patterns associated together. If this is not the case it is probably a sign of bad architecture. The Generic Repository pattern matches very well with the Unit of Work. The principle of the latter is to keep track of everything during a business transaction to update the database only at the end. Let’s say for example that during a transaction you need to change the data of three different entities. Everything goes well for the first two but you encounter a problem for the third. By using a Unit of Work you are sure that your data won’t change unless the modification of the three entities is a success. To summarise, the beauty of using the Unit of Work pattern is that you can do the manipulation you want on your data and persist with the changes at the end in one go.

These patterns are source of debates within the community on whether they are good or bad. As already mentioned there is no perfect solution and rather than debating on whether a pattern is good or bad ask yourself if it does the job for what you want to achieve.


Written by Tarik Miri

New Home for Synetec

Synetec have expanded and moved into new larger offices within the Print Rooms on Union Street. Being based in Southwark, London allows quick and easy access to our clients and gives the team the convenience of Central London travel. With transport links, shops, bars and restaurants, we have plenty keep us busy when not developing world class software!

Even when the complete team is present, we still have room for a few new team members, so back to our Recruitment page for those opportunities.


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