Palantir Foundry is an enterprise data management platform offering comprehensive tooling for working with big data. Because it is an operating system made for modern enterprises, it is highly available and a continuously updated platform.
Palantir Foundry is a fully managed SaaS platform that spans from cloud hosting and data integration to flexible analytics, visualization, model-building, operational decision-making, and decision capture. It equips technical and non-technical users to make data-driven operational decisions.
Palantir Foundry has different pricing models that can be negotiated.
It's expensive.
Palantir Foundry has different pricing models that can be negotiated.
It's expensive.
In our data-filled, customer-centric, digital world, effective decision-making is being driven increasingly by analytics. EXL looks deeper into the front, middle, and back offices by merging statistical data mining with a consultative approach, artificial intelligence, machine learning and modeling tools. We help our clients minimize risk, boost operational efficiency, create regulatory compliance frameworks, simplify supply chains, and identify new channels for growth and profitability.
Optimise your data assets. Make faster and better decisions. Work more efficiently and save money. Find new sources of revenue. Capitalise on the untapped business intelligence you already own.
Detect data deviations and get critical insights for your business. With Eugenie, anomaly detection is easier than ever. Utilize AI-powered solution for clear and accurate results.
Smart homes, the Internet of Things, social media, mobile applications, and other technologies are generating an unprecedented amount of multistructured data. This "big data" has the potential to transform businesses and industries and to unlock tremendous value. It transforms how companies organize themselves, decide which technologies to use, and build ecosystems of partners and vendors. The time has come to value data as a strategic asset that can help you win.
Data created by customers through their online behavior and interactions allow companies to decode customer needs, preferences, sentiments and grievances—and to create more personalized experiences and services with AI data-driven business decisions.
Digital technologies, including analytics and AI, give your company a once-in-a-generation opportunity to perform orders of magnitude better than you ever have before. But you’ll need new business models built from analyzing your customers and business operations at every angle to really understand them.
Terms such as Machine Learning, Analytics and Big Data have become a part of the commonly used language of the Advanced Data Analysis field, or Analytics in short. This field has received attention and acknowledgment in recent years and become recognized as a valuable asset for every organization in any sector.
Analytics have changed the way we approach data in organizations. In the past, organizational information was replicated and transformed to match a format of the organization’s database. In order to access and analyze that information users created queries, however, not all organizational data could be processed that way since the database only worked with structured data.
Nowadays, we know that the numbers and types of data sources available to us are enormous, and we must take the internal and external information into consideration in order to get the full picture.
The Data & Analytics practice provides holistic solutions by collecting ALL available data and directing it towards interesting issues by raising anomalies and trends in the data.
