ETL is a type of data integration that refers to the three steps (extract, transform, load) used to blend data from multiple sources. It’s often used to build a data warehouse. Data integration solutions from IBM offer organizations a scalable data integration platform. The platform allows you to extract data, transform it in any style and load (ETL) it to any system, supporting faster time to value and reduced IT risk. The integrated platform delivers a wide range of data quality capabilities from data profiling, standardization, matching and enrichment to active data-quality monitoring.
IBM Infosphere ETL
Build confidence in your data:
Data that is secure and trusted is essential in today’s world. IBM data integration software solutions can deliver clean, consistent and timely information for your big data projects, applications and machine learning.
Govern data in real time:
Flexible and real-time data governance is needed 24×7. The IBM data integration platform massive parallel processing capabilities help manage, improve and leverage information to drive results and reduce cost and risk of consolidation.
Consolidate and retire applications:
Multiple, disconnected systems or an outdated application infrastructure can negatively impact business and increase costs. IBM data integration software solutions automate manual processes, thereby improving the customer experience and business process execution.
Aiming to double the value of its real estate portfolio in five years, it should decision-makers need timely, accurate insight into portfolio data scattered across many disparate source systems.
Company is working with IBM to create an advanced, cognitive-ready analytics platform, delivering a single, trusted source of enterprise data that the company can harness to optimize decision-making.
reporting processes, freeing up time for value-added activities
trust in data and analytics, helping the business make informed decisions, faster
Identify opportunities to optimize asset yields and drive business growth