DA

TA

Enabling Analytics Solutions

Data Warehousing

Real-Time Analytics

Big Data Analytics

Data Broker for Analytics

Next-Generation Analytics Fuel your data analytics initiatives with data that's complete, contextual, and trustworthy.

Beware bad data If you’re like most business people, you invest in data analytics to uncover hidden connections, unseen correlations, unknown citizen preferences, and other useful information. Maybe you want to make better decisions about which programs and services to offer citizens, or perhaps you want to uncover process changes that could cut costs and make your programs more effective . 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.

Almost three-fourths of Gartner survey respondents have invested or plan to invest in big data in the next 24 months.

According to Forrester, 80% of the work in any big data

project is in cleaning the 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: • Your mission suffers – citizens are underserved, programs are inefficient,

openings for fraud, waste and abuse appear • You’re funding suffers for being out of compliance • You have to rely on ad-hoc, manual processes to access, prepare, and clean

your data—processes that simply can’t scale

Informatica helps prepare data for next-generation analytics.

Turn raw data into great data Informatica solutions bridge the gap between raw, messy data and reliable analytics. We allow our customers to: • Connect to all types of data sources (legacy transaction, social, and sensor

data) to quickly assess what’s going on • Create a complete, contextual views by integrating different data sources • Refine and transform raw data into high-quality, complete, and trustworthy

information • Operationalize and make repeatable formerly manual processes for

accessing and integrating data

Great Decisions Require Great Data.