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BREADCRUMB

 1. 
 2. Resources
 3. Case Studies
 4. University of San Francisco


CASE STUDY


REWRITING YEARS OF BAD DATA IN A MATTER OF HOURS FOR THIS CALIFORNIA UNIVERSITY


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At a glance

The IT team at the University of San Francisco, working with limited resources,
sought to update its inefficient and outdated IT asset management processes. The
staff needed an automated solution that would integrate data from disparate
systems and across silos. Two Flexera solutions—Technopedia and
Normalize—provided clean, accurate and enriched data to USF’s existing
ServiceNow integrations. The solution significantly reduced costs and, in just a
few hours, cleaned up bad data accumulated over many years. For the first time,
USF had a true picture of all the assets in its IT environment.

The challenge


A MANUAL PROCESS AND DISPARATE SYSTEMS CREATED PROBLEMS FOR USF

Running with a lean department typical of many educational institutions, the IT
staff at the University of San Francisco found success as an early adopter of
the ServiceNow platform. But an urgent solution was required for the
university’s tangled, inefficient and outdated IT asset management processes.

Over the years, the university had created customized configuration items
(CIs)—such as incident, problem, change and project management—to support their
initial processes. The IT staff used LANDesk for asset discovery and was
spending a great deal of time manually integrating the asset/CI data from two
disparate systems. The lack of standards in the way hardware and software
products were published and reported resulted in discovered data that was
inconsistent, incomplete and inaccurate.

Reliable asset/CI information required for effective ticket assignment and
routing was missing. In addition to budget issues, the department was at
long-term strategic risk due to inefficiencies from manual creation and mapping
of models.

USF needed to consolidate asset/CI data across data silos and reduce costs by
replacing manual efforts, all while staying within budget by avoiding expensive
services. The university also had to become ready for ServiceNow advanced apps,
gain confidence in their asset/CI data and eliminate license and security
related risks.

Flexera's integrated
solutions enabled USF to cut implementation time by 75%

After years of lax control and turnover, our models were a total mess.
Technopedia and Normalize saved an enormous amount of time and helped us achieve
a clean inventory for the first time, improving confidence in our reports and
giving us a true picture of the assets we own.

Service Level Manager University of San Francisco

The Solution


CLEAN DATA AIDED BY FLEXERA PRODUCTS PROVIDED “TRUE PICTURE” OF ASSETS

The university’s IT team used solutions through the certified ServiceNow
integrations to tackle their asset management challenges. Technopedia from
Flexera was used to automatically populate the ServiceNow model tables with
hardware and software model information. Normalize from Flexera was then used to
extract information from LANDesk, filter out noise, and align it around the
catalog to make it consistent and accurate.

The data was then enriched with market data from Technopedia content packs to
provide key missing pieces of information required by ServiceNow applications,
after which the enriched data was automatically populated into the ServiceNow
tables.

These solutions enabled the university’s IT staff to consolidate LANDesk and
ServiceNow data into ServiceNow’s CMDB table, and normalize raw discovery data
and directly populate ServiceNow’s model, asset and CMDB tables—while keeping
each always up to date. ServiceNow CIs were automatically mapped to their
respective models as defined by Technopedia.

“After years of lax control and turnover, our models were a total mess,”
recounted USF’s service level manager. “We had to clean this up to implement
ServiceNow asset management and needed help. Technopedia and Normalize saved an
enormous amount of time and helped us achieve a clean inventory for the first
time, improving confidence in our reports and giving us a true picture of the
assets we own.”

The Results


USF CUT IMPLEMENTATION TIME BY 75 PERCENT, REDUCED COSTS WITH AUTOMATION

The solutions helped the university implement ServiceNow asset management on
time and within budget. They also future-proofed USF’s data, enabling the IT
team to easily adopt advanced applications in the future. Through the creation
of a data abstraction layer, the LANDesk discovery data could easily be consumed
by ServiceNow or any other tool.

In addition, the IT team gained confidence in its cleansed and enriched data,
which enabled them to see exactly where their assets were located and how many
were deployed. With Flexera’s integrated solutions, the university cut
implementation time by 75 percent. In just a few hours, the IT team was able to
clean up bad data accumulated over many years.

It also reduced operational costs with a completely automated workflow for
aligning models to asset and CI data. Most important, for the first time the
university has a true picture of the assets it owns.

In just a few hours, the IT team was able to clean bad data accumulated over
many years.


LEARN MORE ABOUT HOW TECHNOPEDIA CAN WORK FOR YOU

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University gains quality data and cuts implementation time by 75 percent with
Technopedia and Normalize

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Platform

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Platform, Normalize and Technopedia

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FlexNet Manager for SAP Applications


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BREADCRUMB

 1. 
 2. Resources
 3. Case Studies
 4. University of San Francisco


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