How Apptio Cost Transparency Foundation Transforms IT
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Transcript of How Apptio Cost Transparency Foundation Transforms IT
© 2013 Apptio, All rights reserved
November 18, 2013
How Apptio Cost
Transparency
Foundation Transforms
© 2013 Apptio, All rights reserved1
Mk
Targeted data sets are
extracted from your source
systems, then loaded and
preserved in Apptio in its
original form. Data integrity
and trust are always
maintained. Collection can
be automated with optional
Apptio DataLink connectors.
Make Sense of Existing Data
© 2013 Apptio, All rights reserved2
Transform your Data
Mk
Editable rules transform raw,
imperfect data to fit the Apptio
Data Model. Data is cleansed --
validated, parsed, filtered,
deduplicated -- and normalized
(to fit to common structures).
Columns of related data are then
joined to create logical
relationships needed for
reporting.
© 2013 Apptio, All rights reserved3
Adaptive Automated Data Model
Mk
Automated business rules help
map transformed data to fields
and objects in a data model
(schema) purpose-built for IT
business analysis. Additional
fields and relationships can be
added for your unique reporting
needs. Free up to 90% man-
hours spent on manual
reporting.
© 2013 Apptio, All rights reserved4
Simple Modeling and Calculation
Mk
A pre-built set of allocation rules map and
allocate costs from GL journal entries into
categories like towers and sub-towers.
Methods include mappings from account
code/cost center combinations and
allocated weightings based on rate cards
and live data. Apptio can help you
configure your cost model to fit your
available data and organizational needs
using a library of best practice allocation
rules together with specialized expertise
honed from 150+ implementations.
© 2013 Apptio, All rights reserved5
Interactive Role-Based Reports & Analytics
Mk
Ready-to-use interactive reports
and dashboards are delivered via
the Web with role-based views
tailored for actionable information.
To enhance understanding and
trust in the data, you can trace
costs from reports through the
model and back to original source
data like GL journal entries.