Higher Education and Great Data

1. DATA
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.

2. 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.