Unleash data’s value by building a modern data platform
We help you become data-driven. We enable you to anticipate market changes and adapt quickly by leveraging data to introduce new products and services, optimize costs and streamline processes.
Our end-to-end offerings help you define the data strategy roadmap, implement a modern cloud data stack, put together the governance and security frameworks, and manage the data quality using modern data mesh and operations principles. We help you put together master data management and data cataloging solutions. Our robust data science capabilities can help you improve your business processes by leveraging the power of AI and ML solutions. Our ML Ops offerings can help you launch and maintain your data science use cases quickly and systematically. Finally, our purpose-built business solutions and accelerators can deliver results 3X faster than custom integrations.
In today’s digital world, data, analytics and AI play a key role in transforming native business operations, creating new business models and unleashing process improvements. Wipro’s data, analytics and AI services, enable organizations to deliver value across the customers’ journey by empowering users with more agile and intuitive processes.
Our services help organizations use data and analytics to create new business models and revenue streams – all while ensuring security, quality and regulatory compliance of data. Underpinned by technologies such as cloud, Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML) and advanced analytics, our solutions help enhance decision making while enabling augmented intelligence and process automation. In addition, Wipro’s crowd-powered consulting helps secure innovation and scale programs to deliver tangible results.
Leverage data engineering innovation for semantic architecture, knowledge graphs, and deep neural networks to transform your business. Utilize data consumption approaches to bring data science to life through workflow integration of analytics, visualization of information, and integrated processes for decision-making.
Wherever you are on your journey—from aggregating the vast points of data to building sophisticated AI models—Cognizant will meet you there. With our offerings you will harness the power of data and AI to drive faster, predictive and proactive decisioning, all while educating the organization on the path forward.
Every enterprise knows how important data is—and always has been—to running a business. But today’s enterprise data operates on a completely different scale. Over the past decade, data’s importance has grown, and its value has accelerated. AI cannot reach its full potential until companies figure out data. And data-adept digital-native companies have shown the value in using data and artificial intelligence (AI) to unlock new products, experiences, and operational efficiencies, at scale.
Advances in cloud-native services now puts those same capabilities within the reach of every enterprise. In 2021, for instance, almost half of the CEOs of the world’s 2,000 largest companies mentioned AI in their earnings calls’ll. But there’s a catch. The data landscape and the ways enterprises want to use it, is becoming ever larger and more complex. Put simply, there’s much more data to handle, at greater speed. Data complication is also evident in many more varieties and resides in many more places, not to mention the heightened need to access data from all points of the cloud continuum.
What’s more, most organizations are not effective at using real-time data, or ensuring connectivity and interoperability across different infrastructure components. Many also struggle to trace their data or find the information needed to answer even basic questions about their customers, assets, people, and partners.
Why is this so hard?
Because knowing where the data resides is only part of the problem. There’s also the challenge of accessing it, extracting it, processing it, analyzing it, and distributing the insights to the right people or systems at pace. And that’s dependent on the data platforms, processes, skills and culture the organization has at its disposal.
Whether this data complexity comes from old challenges or is exacerbated by new ones, a majority of companies believe there’s a gap between where they want to be and where they actually are today.
The good news?
The breathtaking evolution of cloud and edge capabilities provides solutions that simply didn’t exist a few years ago. These capabilities allow companies to make a profound impact through three strategic objectives: extracting data’s intrinsic value, accelerating the value via pre- built cloud solutions, and creating exponential value with AI.
The value journey of data begins with the first of those objectives: extracting the intrinsic value of data, which refers to the data’s true value, reflecting what data is fundamentally worth. Enterprise leaders should instinctively look for that diamond in the rough data opportunity, that, for whatever reason, is currently being treated below its true worth, or intrinsic value. This focuses on breaking down data silos, removing duplication, creating trusted data products, reducing the cost of data rework, ensuring more timely insights and cross-functional use cases, and improving user adoption.
The goal is to ensure the enterprise can tap into the full range of available data, faster, to radically enhance business intelligence and performance today.
We’ll help you transform your data and make better decisions with our fully managed business intelligence services.