expressor IDC Presentation Oct 29 2009

redefining data integration
IDC Business Intelligence Road show 2009
Ljubljana, Slovenia
Oct 29, 2009
Mark Talbot, expressor business development manager

company
founded in 2003
smart, fast, affordable data integration software
led by experienced management team
technical founders have very strong data warehousing and DI background
received 16 Mill in funding; main investors are Commonwealth Capital Ventures, Globespan Capital Partners and Sigma Partners
expressor 2.1 shipped Oct ‘09
headquartered in burlington, ma
smart semanticstm
breakthrough scalability
total lifecycle management
2

expressor - where we fit
data consumers
web services
portals
BI tools
applications
processes
databases
developer
perpetual
data
analyst
semantic
metadata
services
high-performance data integration services
data
steward
collaborative role-based tools
manager
batch
data architect
data sources
3
web services
databases
flat files
mainframe
messages
semi-structured
data
applications
xml

DI products are inefficient and expensive
4
“data integration” solutions on the market are complex,
bloated, and service intensive
75% of data warehouse builders still custom-code their DI processes
simple and complex data, time-series data, growing number
of sources overwhelms tool’s ability to cope
data volume growth and complexity continues to explode
more data needs to be delivered faster and we have less
time to deliver the application
time is being compressed
hardware costs, obsolete (expensive) software pricing
models, and high development staff costs negatively
impact ROI
current solutions don’t scale

the big switch (Nicolas Carr, IDC)
5

why semantics matter
“Only by presenting data together with its definitions in a meaningful context…can organizations fully harness and exploit their data assets. These data semantics, effectively applied, enable smarter query and reporting functionality across the entire IT environment, and they enable the delivery of information, derived from structured data, that is meaningful and actionable for the user.”
-- Carl Olofson, Managing Data Strategically, IDC
6

smart semanticstm
7

breakthrough scalability
8
expressor processor
image
channel
channel
image
network
network
channel
channel
channel
channel
channel-based parallel partitioning
data stores /
applications
data stores /
applications
expressor engine outperforms leading DI platforms

9
total lifecycle management
rationalizes metadata using expressor administrator
data architect/
steward
(auto) generates project plan based on detailed data and metrics stored in metadata repository
creates target-centric semantic rules using expressor constructor
business
analyst
semantic
metadata repository
project
manager
(re)uses semantic definitions and analyst rules in expressor drawings
expressor integration flow and rules decoupled and abstracted from physical sources and targets by semantic dictionary and available for reuse. Closed loop DI design process
developer

business-IT collaboration
familiarity through
MS Office-based tools
common (abstracted)
business definitions are
much easier to understand
than technical metadata
simple business rules
can be defined directly by
an analyst and shared
with the ETL developer
business rules
only need to be
defined and tested
once and can be reused
over and over again
10

expressor application examples
11

case study: healthcare communications company
business problem
data reaches CSRs in multiple formats, requires intervention by ETL developers
at the backend, process requires manual segmentation by analysts
results are difficult to analyze
need to improve customer interaction

solution
enable CSRs to build “drawings” – merge physical data with abstract layer
segment data as rows in table and leverage repository
use shared libraries to create reusable functions
implement “dynamic where clause” to provide analysts with more reporting granularity

csv
csv
legacy
apps
legacy
apps
analytic
apps
customer
import
streams
expressor addresses the complete data lifecycle
csv
csv
analytics
user

results
CSRs now self-sufficient – no interaction with ETL developers to add or extract data
analysts get faster reporting, with increased granularity and data quality
customer interactions easily iterated based on results

expressor partners
launched partner program in Aug 08
have signed two dozen technology, SI and reseller partners to date
geographic sales through partners includes US Federal Government and EMEA (UK, Germany, Benelux, France, Italy, Austria, Switzerland, and former Yugoslavia)
13
Tungsten Management
Consulting
copyright © 2009 expressor software corporation confidential and proprietary

CRMT and expressor – partnering for success
CRMT -- leading BI consultancy and SI in former Yugoslavia countries
expressor -- creates competitive business advantage by improving the quality of the data supporting strategic, tactical and operational processes
CRMT -- exclusive expressor reseller and SI for Austria, Bosnia, Croatia, Hungary, Italy, Macedonia, Montenegro, Serbia and Slovenia
14

15
smart. ultrafast. affordable
data integration software