The CST technology platform is built on a distributed micro service architecture. This supports a modular approach to software delivery. Each component is separately deployable on multi-connected and distributed environments. This means our clients have the flexibility of choosing where and what is deployed depending on their needs and also supports the possibility of scalable expansion of functionality.

Data Patterns And Trends

The CST platform provides a cognitive pattern and trends identification. It runs a series of algorithms against both already stored data and data in the stream, to create a full picture of the current state of the data…building relationships in the data as it processes the data.

The analyzing, trend learning and predictive analytic capabilities are supported through the use of the system of HDFS technology which enables a real-time distributed analysis of data. This is also applicable to unstructured data. Unstructured data is processed by a CST NLP (natural language processing) and OCR (optical character recognition) module before ingesting the data into the systems HDFS. Both during the ingestion process (using streaming technologies) and when the data is in HDFS (HADOOP File System), it can be analyzed and reported upon in the same way structured data is held and analyzed. In some cases, the CST ingestion module may find it necessary to language process the unstructured data for context analysis.

Organizations have access to more data than ever before and this almost overload of data can be overwhelming. With this ever-growing pool of information, organizations and governments have to learn how to make sense of it all to make solid data-based decisions or risk losing the competitive advantage in ANY industry. Data analytics is one of the best ways we make sense of all this information. A raw data table of information does little to inform our decisions, but when we plot this information in a bar, line or pie chart, trends and key insights become immediately apparent.

Predictive analytics, including business analytics, is essential to any organization wishing to keep up with and even get ahead of competitors or indeed partake efficiently in any level of government activity. CST analytics systems provide a look into data that is unique in its scope, purpose, and focus. Sophisticated and mature algorithms help to establish hidden relationships and identify undiscovered patterns in both business and technical data. See your data change in real time using the CST visualization module.

Data analytics and visualization were both disciplines previously only available to a handful of employees within an organization, employees who specifically studied data analysis. However, with cloud services generating and storing more information and organizations collecting (or should be) large amounts of data, every employee in an organization, from entry-level to executive, is responsible for exploring, visualizing, and ultimately drawing conclusions from their data. Getting the whole team on the same page when it comes to intelligence tools will streamline client analytics efforts and empower employees with the skills they need to perform their own data analyses and core functions. This approach can only enhance organizations that use the power of analytics correctly. The CST platform supports this process at each step.

The CST platform takes a look not just at statistical analysis and quantitative analyses but also looks at what it can learn and KNOW about the data. This allows organizations to explore data in new ways to find new relationships and patterns within both existing and new data:

  • Get explanations for why certain results occurred.
  • Experiment to test previous decisions.
  • Forecast future results.

Predictive Models

The CST platform supports Predictive analytics and recommendations based on analyzed data. The CST platform leverages a range of proprietary and industry standard machine learning and artificial intelligence algorithms to learn from the trends of data in order to use that as the basis of its predictions and recommendations. It also uses a technique known as model training to educate its algorithms in real time. This process is actually performed first when the data is ingested into the system and ongoing using existing data in the distributed architecture. This means that unlike many machine learning implementations, the CST platform can continuously learn from data and provide these insights in real time using both data and infographics.

In the world of ever-growing data volumes, how do you extract insight, trends, and meaning from all that data in your organization? CST provides the tools to help you transform your data into knowledge.

Organizations know that the key to competitive advantage is in using advanced analytics to discover trends and use them to their advantage faster than the competition. Getting real value from data requires a different approach. Churning out a couple of analytical models a week isn’t going to cut it going forward.

The CST platform will help identify trends, spot weaknesses and predict outcomes; it is a lot faster because of its distributed architecture, more efficient, more accurate, and easy to use.