The rise of data and AI promises many things: the power to interpret, to predict, to transform. However, until the enterprise learns how to manage and master the data being generated and apply that learning to actual business use cases, that promise remains a distant dream.
What will it take for today’s data-driven enterprise to turn that promise into a reality? Think of the most successful companies you know. Their success is built around compelling insights derived from data. Taking advantage of data and AI requires a new architectural approach to how data is managed. That approach is the enterprise data cloud and, can unlock the value of any data anywhere and empower users with self-service access to the analytic tools required to build the data-driven applications of tomorrow.
Use Cases for Enterprise Data Cloud
Some enterprises have already taken advantage of an enterprise data cloud, to realize meaningful business value to dominate their respective industries.
Deutsche Telecom delivers telecom services to 150 million global customers. Preventing network fraud is a major challenge for the company. To better identify fraud patterns, the company’s analysts needed a way to capture and analyze a greater volume of data. They turned to Cloudera Data Platform to improve not only fraud detection, but also customer relationship management, network quality and operational efficiency through machine learning and AI. Through more targeted use of its data and AI, the company now finds network problems before customers even notice them and detects fraud patterns and threats in real time before they can affect the business. As a result, losses from fraud have dropped by 10 to 20%. Read the Deutsche Telecom case study to learn more.
Komatsu Mining Corp is a global mining equipment and services provider. One of the company’s goals is to help its customers improve safety, productivity, and costs driven by the Industrial Internet of Things (IIoT). Komatsu’s legacy data systems could not cope with data growth, so Cloudera helped the company create a cloud-based IoT analytics platform that can ingest data from a wide variety of sources. By placing all data from various silos into a single platform, Komatsu now has a more complete picture of its data and applies that insight into recommendations for operational and safety improvements. Read more in the Komatsu Mining Corp case study.
Lufthansa Technik provides technical aircraft services and helps customers maximize the reliability and availability of their aircraft fleets. Modern aircraft are data-driven and often generate more than a terabyte of data per flight. The company wanted to use that data to better predict and prevent operational and maintenance issues, so it created a cloud-based analytics platform that manages air fleet data in real time. That data now forecasts potential problems and delivers visibility of supply chain, parts and component inventory. More than half of an airline’s typical costs revolve around maintenance, overhaul, and repair. With this new platform and its predictive capabilities, the company has better data about component life and has reduced component removal by 40%. Read the details in the Lufthansa Technik case study.
Redefining What It Means to Be a Data-Driven Enterprise
The common thread through those case studies is the organizations’ ability to use data and AI to gain useful, meaningful insights into their operations, services, and customer needs. The enterprise data cloud is the power behind that ability, and does the following:
- Manages all data across hybrid, multi-cloud, and on-premises environments
- Runs multi-function analytics on any data, wherever it lives, from the edge to AI
- Keeps data secure and meets governance requirements in any environment
- Runs on a completely open-source platform without cloud lock-in
Modern enterprises undergoing a digital transformation should adopt a data management and analytics platform that embraces these characteristics. Cloudera can help you create your own enterprise data cloud platform so you too can redefine what it means to be a data-driven enterprise.
Survey results gathered by Harvard Business Review Analytic Services and Cloudera find that only one-third of executives feel their organization’s data management capabilities are on track to meet near-term strategic goals. Critical Success Factors to Achieve a Better Enterprise Data Strategy in Multicloud Environment, has survey results and tips for building your own successful data-driven enterprise.