Ensuring Smooth Data Operations for Modern Data Platforms

With the rapid growth and transformation in technology that the modern world is experiencing, every second enormous amounts of data are generated for both professional and personal purposes. We check our emails, enter passcodes to unlock our devices or make a simple phone call, and in these everyday routine actions, significant volumes of data are transmitted. When shifting to the business side, data is vital for the day-to-day operations for all kinds of businesses.

Establishing a True DataOps Culture for a Leading Biotech Company

Challenge

Our client, a leading biotechnology company, was facing operational inefficiencies due to siloed teams working independently with little collaboration. The organization lacked well-defined operational processes, and  the instability with its existing data platform resulted in high platform costs and usage inefficiency. The client needed a strong data engineering unit to standardize and define its processes, team structure, tools, and product roadmap, which would enable them to improve business value, performance, and efficiency.

Customer-Centric Excellence: An Insurer's Success Tale

Discover how our AI-powered Customer 360° solution streamlined data for a top insurer.

Due to the complexity of data sources and the vast size of the client’s data, they faced significant challenges in consolidating and harmonizing customer data into a unified and trusted source. The client also struggled with analyzing and understanding customer journeys and identifying opportunities for upselling and cross-selling insurance products to their customers.

Harnessing Data Observability to Optimize DataOps and Drive Business Success

In modern data management, data observability is a critical component. It involves continuous monitoring and analysis of data pipelines and workflows to ensure that data is accurate, reliable, and meets quality standards. Data observability aims to make sure that the data being used by organizations is trustworthy and can support strategic, data-driven decisions. Modern companies need to monitor data across many tools and applications. Data observability can help companies understand, monitor, and manage their data across the full technology stack and data ecosystem.

Digital Health Innovation Summit 2023

Dr. Tariq Khan is an enterprising AI leader with multidisciplinary subject matter expertise. Dr. Tariq has used AI to catalyze the transformation of processes for Fortune 500 companies; achieving returns on investment totaling over one billion dollars. He has proven experience of leading AI transformations, with one standout being the establishment of a 5-year AI COE for a Tier 1 Life Sciences company headquartered in New York.  

Data Platform Modernization for a Fortune 500 Insurer

Visionet revamped a Fortune 500 insurer's data platform for optimized performance and costs and improved data management.

Challenges

Our client faced major setbacks due to an outdated data platform and the absence of formal DataOps process. These issues not only caused daily operational inefficiencies but also raised concerns over data protection and privacy. Learn how these challenges obstructed the client's decision-making process and escalated costs, creating a need for a robust solution.

Five Principles for Laying a Successful DataOps Foundation

​The story that follows is a pattern in many mid-to-large sized organizations that struggle to find intelligent ways to manage their data. A retail organization was suffering from siloed data spread across numerous departments. Lack of collaboration between these departments led to inconsistent workflows, making it difficult to gather data, create a single source of truth and analyze it to run daily operations. Several teams existed across the organization to handle various individual functions such as supply chain, sales, etc.

Salesforce Commerce Cloud: Next-Gen Sales Automation

The rapid advancement of technology has led to the rise of sales automation in the world of e-commerce. Sales automation involves using software and tools to streamline and automate repetitive tasks in the sales process, enabling businesses to increase efficiency, reduce human error, and ultimately, boost sales performance. In today's hyper-competitive e-commerce landscape, staying ahead of the curve is crucial.

How AI is Enhancing Data Health

Data has become the lifeblood of modern organizations, from small businesses to large multinational corporations. It is a key resource for achieving growth, strategizing for success, and staying ahead of the competition. By providing vital insights into consumer preferences, behavior patterns, market trends, and financial performance, data enables businesses to understand, accelerate, and optimize their operations.

Maximizing Drug Launches through AI based Approach

Addressing the Issue of Complex Drug Launches

The biopharmaceutical (biopharma) industry is facing a growing challenge in launching new drugs due to rising development costs, demands for faster time-to-market, complex patient needs, and increased market competition. In addition, new care models and the growing influence of payers add further complexity to the challenge of launching a successful drug. The value chains have become more intricate and there is a greater need for innovative solutions to address these mounting challenges.