Digital Transformation
Data & Analytics
Data growing exponentially
Digital transformation centers around customers who have higher expectations about the kinds of real-time, on demand, personalized experiences they should be getting from their service providers. Data plays an important role in delivering exponential value to business organizations, as those who use data have benefitted immensely in the form of customer loyalty, growth, and increased profits.
Challenges being faced
There is currently an exponential growth of data. Studies indicate data size doubles every two years based on the information history. While access to data is a positive development, it poses challenges to store, process, analyze, and generate timely insights. With data, also comes regulations that organizations must deal with, especially in highly regulated industries like Financial Services and Healthcare. Organizations must deal with vast amount of structured and unstructured data from multiple sources.
Advances made to leverage data
Emerging technologies are enabling organizations to innovate and meet continuously rising customer expectations. Growth of business intelligence tools have become handy for organizations to generate timely insights by deploying ETL tools on top of datawarehouse environments.
With the advances in data platforms from AWS, Azure, Google Cloud, Databricks, Snowflake and other innovative platforms, organizations are able to rapidly use cloud environments to store, process, analyze, and generate timely insights.
Leveraging cloud environments for data, more and more companies are leveraging RPA, ML. AI, and IoT for a variety of tangible use cases. These technologies are helping to drive exponential value to gain more customers and generate profits.
As an example, a North American based banking institution leveraged modern data platform to build the foundation for machine learning across entire business functions — Front office, back-office, fraud, and security. These sorts of transformations are within the reach of all enterprises.
RPA & AI
Work Smarter & Faster
A revolutionary way to execute manual and repetitive tasks by automating end‑to‑end processes. Organizations are rapidly adopting Robotics Process Automation (RPA) by streamlining processes to drive productivity, speed to market and cost optimization. While the RPA segment is being dominated by pure play RPA vendors like Blueprism, Automation Anywhere, and UI Path, non-RPA players like ServiceNow and Pega have entered into the RPA market to extend their services to workflow automation.
Artificial Intelligence. Enhancing Customer Experience
Enhance employee and customer experience by using Artificial Intelligence (AI), which is an integrated function of Machine Learning, Search, Automation and Natural Language processing. AI uses Deep Learning for predictions, recommendations, and actions. Cloud providers are developing use cases that are transforming customer experience in Healthcare, Financial Services, Retail, and Telecom among other industries, for example, AI in Healthcare is changing the way information gets collected, analyzed and developed for patient care.
Talk to us
Our team comes with the best-in-class consultants with data science, data engineering, analytics, RPA, MP, and AI solutions expertise. Please contact us to learn more on how we can help you.