If you’re like most business people, you invest in data analytics to uncover hidden connections, unseen correlations, unknown customer preferences, and other useful information.1 Maybe you want to make better decisions about which products and services will delight customers, or perhaps you want to uncover process changes that could cut costs and shorten time to market.
The next generation of analytics will let you see patterns for predicting future behaviors, not just analyzing those in the past.
But if you think you’ll find concealed insight with just self-service data visualization tools, data warehouse appliances, and Hadoop, you’re wearing blinders. The truth is, none of these technologies by themselves will fix bad data.
To make better decisions, you need great data—trustworthy, usable data that’s refined so you spend more time analyzing and less time finding and fixing errors. The risk of working with incomplete, inconsistent, untimely data is clear:
Informatica’s data integration and data quality solutions bridge the gap between raw, messy data and reliable analytics. We allow our customers to:
1Survey Analysis: Big Data Investment Grows but Deployments Remain Scarce in 2014, Gartner, Inc., September, 2014
2Forrester webinar: Big Data Integration Gains Momentum: Are You Ready?, June, 2014
David Lyle, Informatica VP Product Strategy, offers some compelling approaches to data warehouse modernizaiton based on his experience with customers.
Watch and then join the discussion with David at @leanlyleWatch now
Jumpstart, scale, and ensure the on-going success of your data warehouse deployment.
Take data of any type or size and turn it into actionable insights that have maximum business impact.
Refine your data to drive real-time analytics and empower IT organizations to meet SLAs and goals like never before.
Capitalize on your data to drive business value, improve operational efficiency, and uncover smarter ways to engage customers.
Cut the number of point connections going from data sources to marts and warehouses.
TEB uses trusted data to build and extend customer relationships and enhance operational efficiency.
Tinkoff Bank acquires and retains more customers at a lower cost with Informatica Big Data Management.
Western Union built a data platform based on Hadoop and Informatica Big Data Edition