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AI-based analytics solution delivers ‘world class’ judicial data platform

AI-based analytics solution delivers ‘world class’ judicial data platform

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Abu Dhabi Judicial Department (ADJD) has applied AI-based analytics solutions from SAS to make the most of its data

Abu Dhabi Judicial Department (ADJD) has applied AI-based analytics solutions from SAS to create a judicial data platform that easily identifies customers and cases, and processes requests for insights and information in a timely manner.

Abu Dhabi Judicial Department (ADJD) has applied AI-based analytics solutions from SAS to make the most of its data and deliver value by making better decisions faster.

With ADJD wanting to gain more insights on its judicial ecosystem spanning the entire breadth of civil to criminal cases and related data and the related services, it approached SAS, a leader in business analytics software and services.

ADJD also wanted to enable more informed decision-making using analytics by giving them high quality dashboards, access to intelligent insights powered by AI and Machine Learning based algorithms, which analysed the quality and consistency of its judgements, and prepare customised, real-time reports for the management and customers while implementing Machine Learning capabilities.

SAS offers 150-plus products and solutions that reflect the latest innovations in analytics, business intelligence and data management. They are designed to help enterprises make smarter decisions about profitability, growth, productivity, competitive advantage, risk and security and customer relationships.

SAS Data Management Suite (which comprises SAS Data Integration, SAS Data Quality and SAS Master Data Management), SAS Visual Analytics and SAS Data Quality have been implemented and are in production at ADJD.

Alaa Youssef, Managing Director, Middle East at SAS, said: “We have gone live with probably the first judicial ecosystem in not only the Middle East but across the Middle East and Africa which has really gone live on predictive analytics to help their judicial strategy.

“It went live earlier this year and they’ve reached a maturity level wherein they are able to apply Machine Learning and Artificial Intelligence models to augment the decision making of the judicial leadership and the judicial business users.

“The vision was to have a singular point where you can access a technology platform which shows the leadership what’s happening in the judicial system across multiple layers of courts.

“Having a single environment where one can see the workings of the entire judicial ecosystem was very important for the leadership to take the government to the next level.

“That’s evolved to the current state where ADJD has reached the point of sophistication where they have the capability to apply Machine Learning and Artificial Intelligence to not only augment their decision making and improve efficiencies but also drive new ways of customer experience.

“ADJD is a very early adopter for everything that is being discussed right now within the UAE in terms of data analytics and advanced analytics.”

Intelligent CIO spoke to Khawla Al Qubaisi, Director Information Technology, ADJD, to find out more.

What necessitated your decision to implement the solutions? 

We started our journey with SAS with the ‘Briefing Room’ project, an enterprise data warehousing and data visualisation program with SAS using SAS Data Management and SAS Visual Analytics, which gave us a single unified platform for executive reporting.

We chose SAS as our data analytics and data journey partner because of our longstanding relationship, but more importantly our successes and accomplishments. The SAS team undertook pilots before we deployed their advanced technologies, and we were very happy with the results of the trial.

These results leveraged our existing data infrastructure by SAS; all the requirements to implement Machine Learning capabilities was readily available, which made the transition easier and seamless.

All in all, the SAS solution added value to the business. This initiative has been formulated to enhance the quality and consistency of judgements.

What solutions have you deployed and can you put a value on the total solution?

This initiative was presented to us last year at the SAS summit as an idea, later prototyped by SAS, and the accuracy of the models was perfected before implementation. Subsequently, ADJD built a data warehouse for all its core systems; offering all our business units with access to their specific data, to generate their operational reports and visualise their data.

Our engagement with SAS as our data partner spans data integration of disparate data sources into an enterprise data model, with data visualisation, data quality, data standardisation, and master data management. The objective is to enable more informed decision-making using SAS Visual Analytics. Furthermore, the tools will be used by the top management to visualise and make decisions based on reliable data and analytics.

How did the vendor meet your objectives and what selection process did you adopt?

We were initially looking for a BI tool to help the organisation with the reporting process. We’ve tested several solutions by other vendors, but SAS’s tools stood out and were the best fit for us in terms of our needs. After that, we initiated the ‘Control Room’ project, which compiles all the reports on one platform, and enables data-driven decision making based on the advanced dashboard capability with SAS Visual Analytics.

Currently, we haven’t fully utilised the tools and are looking into applying them across more processes. At present, we use these tools for strategic and management planning. We can only capitalise on its full potential when the whole business starts to implement it and use it.

Furthermore, this solution has helped us in preparing customised, real-time reports for the management.

What do you use the system for?

We use the solutions by SAS for reporting purposes: executive reporting and management reports. The initiative is being executed into three phases:

Phase one – Data visualisations: this involves viewing operational performance of the organisation, gaining performance insights and ad-hoc analysis

Phase two – Data governance: this involves improving data quality, producing a single customer data report and eventually data synchronisations

Phase three – case analytics using AI and Machine Learning: relation discovery, case summarisation and knowledge retrieval

Is the solution delivering on your objectives? Are there any areas that need addressing further?

Currently yes, the primary objective is to eventually integrate all the reporting processes and involve the other business departments so we can deploy the solutions by SAS across the organisation. This can be realised only when all the business departments are involved in the process.

How has the solution helped your business?

Our ultimate aim at ADJD is to create solicited reports for top management and our customers – providing them with all the needed information in one report and in real-time.

ADJD is currently working on cross-reference analysis where data from different systems will be correlated and analysed; including ADJD operations, social and economic trends identified based on our services; eventually benefiting the Abu Dhabi government as a whole and not only ADJD.

Furthermore, this initiative was put in place with the intention to achieve overall quality and consistency of judgements.

Did you have to replace or upgrade any equipment/software?

We haven’t replaced or upgraded the older infrastructure yet. Our plan is to implement SAS’s solutions across all the businesses and eventually replace the infrastructure in the future.

How and when will you achieve return on investment on the implementation? How have you calculated this?

We haven’t achieved return on investment yet. It mainly depends on how the business uses the solutions. In the long run, once the SAS project has been upgraded with MDM, the true return on investment will be achieved when we replace all the other reporting tools with SAS’s solutions. Eventually, we want to rely on one unified platform to perform all reporting processes.

The ultimate success of the project will be when we succeed in producing a single, complete view of the entire judicial ecosystem for our business units. We initially had to provide different reports on and to our customers, but now we can provide one solicited ‘golden’ dashboard, which consists of all required information.

To sum it up, these solutions by SAS have helped us develop a world class judicial data platform to easily identify our customers, cases, and relationships, and process their requests for insights and information in a timely manner.

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