The client is a leading provider of transformative technology solutions, advanced analytics and clinical research services. They currently operate in more than 100 countries with the aim of improving healthcare and patient satisfaction. They have experience gathering and analysing data from a variety of clinical trials, allowing the healthcare industry to research diseases and viruses such as COVID-19.
The cornerstone for any data-driven project is the conversion of raw data into a desired format. This conversion process was carried out by the client using SAS programming. Creating manual scripts with SAS programming was difficult, costly, and time-consuming, and could only be done by people with technical skills. It also had limited capacity to manage data in the healthcare domain, as the volume and sophistication of data in this sector continue to multiply. The following were the client’s requirements:
- The data collected can come in a variety of formats, including structured, semi-structured, and unstructured. They can be found on a variety of platforms, including internal databases, spreadsheets, IoT sensors, log files, and so on. The client was attempting to solve the difficulty of extracting data from a variety of formats and sources and converting it to a format that could be easily understood.
- As the amount and complexity of data available grows, data cleaning becomes increasingly important. The ability of an organisation to clean or process raw data is critical to the success of any Machine Learning project. As a result, the aim was to efficiently clean the data in order to prepare it for further research.
- Reusability and customization must be supported in the data extraction, transformation, and publishing process.
Create radical productivity by curating information for people who know the data best, while ensuring security and compliance. and prepare any data, wherever it’s found.
Connect your heterogeneous data systems to get a unified view using the best integration tools giving performance and cost-effective advantage.
Streamline operational efficiency by combining data analysis and business intelligence on real-time data and daily logs.
Kanerika utilized Trifacta to address the requirements of its client. Trifacta was chosen for its ability to manage vast amounts of complex data in a variety of situations. It has an easy-to-use, visual interface that can be used by doctors and other non-technical workers to easily prepare data and produce reports.
Kanerika was able to seamlessly integrate the Trifacta tool into the client environment thanks to its expertise. The client was also given instructions and directions on how to use Trifacta to its full potential. Data migration, cleaning, and processing has become much simpler and more effective. Furthermore, these procedures can be performed by anyone at any level of the enterprise and are not limited to the IT department, eliminating the need for data engineers to clean the data.
The time and effort needed for data extraction, processing, and report generation has been reduced. The processing time has reduced by 70%
Improved data lifecycle and time to market, as well as the ability to connect with any cloud infrastructure.
Since the data is extracted directly from the source databases, there is no need for intermediary databases.
Kanerika is a niche consulting firm building efficient enterprises with deployment of automated, integrated and analytics solutions. Kanerika enables efficient enterprises through its unique digital consulting frameworks and AIOps enabled compostable solution architecture. We partner with some of the top vendors to solve some of the critical data and process related challenges. We help some of the top brands across the globe in increasing their speed to respond in evolving market conditions, reducing their cost of operations, empowering them with the right tools and insights for effective decision making.