ADVIZOR Solutions® ADVIZOR Solutions

Transcription

ADVIZOR Solutions®
Data Discovery & Analysis Solutions
©2012 ADVIZOR Solutions®
advizorsolutions.com
1
ADVIZOR
 Bell Labs spin-off
p
 Data Discovery & Analysis software
solutions
 Variety of industries and functional
areas
 Lots of data
 Need to “explore”
explore , “muck
muck around”
around , “see
see the
stories”
 Business
us ess e
end-users
d use s
2
Data Discovery and Analysis
 Enables business people to make fact-based decisions
through
g a highly
g y interactive,, self-service interface
 Complements data warehouses and reporting systems
through world-class
world class data display and interaction
 Powered by
y patented Visual Discovery™
y and
best-of-breed predictive analytics
Display
Analyze
Share
3
Market Needs
 Need to make fact-based decisions
 Speed matters – time is the enemy
 Data volumes are exploding
 Gap: BI products not focused on
human perception and understanding
 Status quo loses – a new approach is
necessary . . .
4
Well Regarded
Gartner: #1 Overall Customer Experience (March, 2011)
5
3 Core Technologies
Data Discovery & Analysis Software
• In-Memory
In Memory Data Management
• Interactive Data Visualization
• Predictive
P di ti A
Analytics
l ti
 Make Better and Faster Fact
Fact-Based
Based
Decisions
6
2 Use Cases
 Ad Hoc Analysis
 Individuals
I di id l or teams
t
 Load data on demand, do discovery, share results
 Production “Projects” for groups of
users
 Novice to advanced
 Internal: teams, departments, enterprise
 External: customers
customers, partners
 Author publishes to group / team
 Client or Web delivered
 Automatically update / refresh data
7
Information Fragmented and Hard
To Access . . .
Patient
Demographic
Clinical
Physicians
Billing
Transactions
ADVIZOR easily loads multiple tables from multiple sources.
8
. . . ADVIZOR Knits It Together
Demographic
hi
Demographic
Patient
Demographic
Affinity /
Affinity
Clinical
Capacity
Physicians
Activities
Activities
Billing
Transactions
Giving
Capacity
ADVIZOR is an in-memory data warehouse.
9
. . . Enabling Easy Answers to
Key Questions.
Q: Where are my excessive claims coming from?
Patient
Demographics
Clinical
Physicians
Billing
Transactions
10
Key Benefit: Collaboration
11
High Impact Across the Enterprise
Marketing
Marketing
Performance
Cross-sell,
Up-sell
Analysis
y
Segmentation,
Demographics
Research,
Survey
Analysis
y
Product
Portfolio
Analysis
y
Customer
Value,
Churn
Finance,
Operations
Performance
Management
Financial
Planning
Profitability
Analysis
Regulatory
Compliance
Facility Audit
Reporting
Supply Chain
Logistics
Security,
Risk Mgt.
Mgt
Network
Intrusion
Enterprise
Security,
y
Intrusion
Market, Credit,
Transaction
Risk
Claim
Processing
Fraud
Detection
IT
Performance
Management
BI, DW
Initiatives
Web Analytics
Systems
Management
Network
Performance,
Intrusion
R&D,
R&D
Proj. Mgt.
Enterprise
p
Project
Management
Critical Path
Analysis
Production
Prod
ction
Analysis
Q alit
Quality
Analysis
Sales
Sales Force
Performance
Pricing,
Discount
Analysis
New
Customer
Acquisition
Channel
Optimization
Human
Resources
Regulatory
Compliance
Staff Planning,
Allocation
Skill Mapping
Customer
Service
Se
ce
Call Center
y
Analysis
Customer
Satisfaction
Analysis
Customer
Service
Metrics
Scanner, RFID
Data Analysis
12
Five Solution Areas:
 List Reduction:
slice and dice to get subsets
– customers, employees, patients, products, etc.
 Portfolio Analysis:
see the big picture,
drill into details
– assets, people, projects, proposals, flight
segments, etc.
 Outlier Detection:
Network / Portfolio Analysis
find anomalies and
Network / Portfolio Analysis
unexpected behaviors
– customer behavior, staff performance, project
progress, system events, etc.
 Time Series:
examine trends over time
– revenue, compensation, security threats,
medical claims, etc.
 Quantitative Analysis:
Quantitative Analysis
examine patterns, project
future behavior
– revenue, promotion response, retention, risk areas, etc.
13
Eliminate the “Cycle of Pain”
 Custom Report Requests:
 Custom query submitted to IT
 Backlog – 5 days to get answer
 Begs another question,
question back through the cycle
 Frustration on both sides
 Excel:
 Download “extracts”
 Slice and dice in Excel
 Time consuming and challenging
 Don’t have all the data
 Hard to show to management
 “Shadow data systems”
14
Project Authoring:
Charts > Pages > Projects
ADVIZOR
Charts
ADVIZOR
Pages
ADVIZOR
Projects
15 interactive
Charts
solve any
data display
need
Combinations of
Charts
that address
specific business
issues
Combinations of
Pages
that address the
performance needs
of a business unit
15
15 Interactive Charts . . .
8 Common Charts:
Chart
Recommended Use
Bar Chart
Used to examine one or more measures (such as sales and costs) over a
grouping (such as region or quarter)
quarter). Show as standard bar or spine plot
plot.
Pie Chart
Used to examine a grouping's proportions (such as the percentage of sales that
each region a company contributes to the company total).
Line Chart
Used to examine trends of one or more measures, such as quarterly revenues
and expenses.
Map
Used to examine data displayed geographically (like airline delays by city) and
looking for possible relationships between the geographical entities (like flight
delays between cities). Use color, size, shape to show 3 metrics. Add cross
node links to show flows and / or relationships. Comes with geocodes.
Data Sheet
Like a spread sheet. Used to examine the underlying raw data and for visually
correlating across multiple measures (for example, does a discount increase as
the transaction amount increases). Right click to export selected data.
Summary
Sh t
Sheet
Used to report one or more measures over a grouping (e.g., cost, sales and %
margin
g by
y quarter)) in a tabular form with calculated totals and averages.
g
Right
g
click to export selected data.
Counts
Used to calculate and show total and unique counts and summary statistics of
one or more entities in a table. Counts will recalculate as selections and
exclusions are made on any linked table.
T t Filter
Text
Filt
U d to
Used
t filter
filt data
d t across a project
j t to
t a subset
b t (e.g.,
(
certain
t i regions,
i
ratings,
ti
product categories, etc.). A text filter overrides other user chart based selection
and filtering actions. On ADVIZOR Server (web deployment) filters can be
applied on login based on user credentials.
16
15 Interactive Charts . . .
7 Richer Visualizations:
Chart
Recommended Use
Scatterplot
Used to examine how two measures relate (for example, which investments
provide a favorable date of return at a low risk)
risk). Show as standard or bubble
chart. Use color, shape, and size to show up to 5 dimensions.
Heat Map
Used to locate “hot spots” within the cross-product of two groupings (such as
high margin but low volume products within certain regions). Excellent for
viewing portfolios.
Parabox
Used to examine how multiple metrics and/or multiple groupings relate (for
example, how do the offensive statistics of a sports league's highest-paid player
compare to the lowest-paid players, and where within the league are these
players). Displays box plots of mean, 25-75%, and 5–95% distribution of each
displayed metric. Updates upon selection to show the selected population vs.
the whole population across all metrics.
Time Table
Used to examine events over time at a granular level (for example, server alarms
for network intrusion detection; transactions by POS terminal grouped by
stores).
Data
D
t
Constellations
Used to show multiple levels of a hierarchy in a single display (for example
example, what
were actual sales as a percent of forecast at the company, subsidiary, division
and department levels), and for examining pair-wise relationships (for example,
what are the purchasing affinities between products).
Histogram
Used to examine the distribution of a metric (for example, the quantity of highly
di
discounted
t d transactions
t
ti
compared
d to
t low
l
discounted
di
t d transactions).
t
ti
)
Multiscape
3D display used to examine a measure over the cross-product of two groupings
(such as a breakdown of quarterly sales by region).
17
Interactivity
Link by Color
Link by Selection
Link by Filtering
Click to set colors and
reveall patterns
tt
Click to identify subsets
and
d compare to
t supersets
t
Click to isolate any
subset
b t and
d drill-down
d ill d
 All companies sell a
lot of regular gas
 Chevron sells a lot
of premium gas
 Premium gas is almost
25% of Chevron’s business
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Predictive Analytics
 Targeted at business analysts
 Point-and-click interface
 No
N k
knowledge
l d off statistics
i i needed
d d
 Mathematically determine what matters
 Visually
y select what subgroup(s)
g
( ) to examine
 Algorithms calculate what matters
 Several use cases:
 Identify which “6 columns out of 180 columns
really matter”, then use those to build dashboard
 Profile one subgroup vs. another
 See which factors are + and – influence
 Model behavior from one group, use to predict
behavior of another group
 Robust multi-variant regression
 Key field analytics
 Missing values prediction
 Target value prediction
19
Share: Across the Enterprise
 Static Output
 Export images to Word, PowerPoint, PDF and Internet
 Dynamic
y
Output
p
 Save work as ADVIZOR .advm project files for collaboration with other
ADVIZOR users
 Publish work to ADVIZOR Server for interactive web based access by
other team members and partners
 Data
 Export / Download selected data to Excel, URL (SQL Server, Oracle,
reporting engines, etc.)
 Capture Thoughts and Insights
 Navigation Panes annotate each project page with descriptive storyline,
images, links, etc
Enterprise Data
Static Output
LiveWeb
Extracts
txt, csv
XML
ASCII
Stream
jsp, asp
Dynamic Output
ASCII
Data
URL
Action
20
Additional Features
 Flight Recorder
(tracks your analysis and discovery path, and let’s you repeat it)
 Custom color scales:
 Categorical
 Ranged
 Binned (e.g., “over 50 is red”)
 Expression Builder
(create calculated values)
 Date Parser
(parse date fields into year, quarter, month, week, etc.)
 Hierarchies
(d fi and
(define
d use iin charts;
h t e.g. St
State
t <-->
< > City
Cit <->
< > Zip)
Zi )
 List export
(Right click on any tabular view to export selected data elements)
 Trend lines & g
goal lines
 Chart tailoring
 Animation
(quickly
(q
y view actual vs. target
g / norm))
(point-and-click property sheets for each chart)
(across time or other variables)
 Reuse dashboard layouts
(Template library)
21
Enterprise Back End
 Load multiple tables:



Load multiple tables from multiple sources into one in-memory data pool (Oracle, SQL Server,
Excel, Access, Text Files, SalesForce, MySQL, etc.)
Id tif and
Identify
d di
display
l ttable
bl mismatches
i
t h (e.g.,
(
nott all
ll customers
t
in
i transaction
t
ti
table,
t bl etc.)
t )
Execute SQL Commands on dataload
 Link, copy across, and roll-up tables



Selection and color links on key fields
Copy fields from one table to another
Roll-up a table – for example a transaction table on customer ID to determine total purchases,
largest purchase, etc. by customer
 For web delivery: one datapool, multiple views



Separate sessions for each user
Credential / role based filters (read from domain
server)
Separate sessions for each user
 Automated
A t
t d data
d t refresh
f
h



Refresh by timer . . .
. . . or event trigger (such as a KPI
threshold is cleared)
Desktop analysis can be on demand
 Project Workshop

View and manage data, expressions, links, etc.
22
Product Line
 Authoring:
 Analyst
Anal st
 Analyst/X
 Deployment:
 ADVIZOR Server
Key Features:
1.
15 Interactive Visualization Charts
2.
In-memory Data Mart
3.
Predictive Modeling
4.
5.
6.
 Desktop Navigator
7.
 SDK / API
8.
 OfficeAdvizor /
10.
SalesAdvizor
9.
11.
12.
Project Workshop
Color Workshop
Link, rollup, copy between
multiple tables
Flight Recorder
Expression Builder
Date Parser
Hierarchies
Export Data
Copy Charts
23
ADVIZOR
 Bell Labs Spinoff
p
 Over 1,000 Customers – mid market & up;
variety of industries
 Key Strategic Partners:
Accenture, Alterian, HP
ArcSight, Avaya, Information Builders, Intel, Microsoft,
Salesforce.com, SunGard HE, Teradata, Trustwave
 Well Regarded by key Industry Analysts:
Aberdeen, Forrester, Gartner, TDWI, etc.
24
Demo & Discussion
advizorsolutions.com
25
Use Case Examples
26
Retail Assortment Management.
Where am I most profitable?
27
Retail Assortment Management.
Is end of life cycle being managed properly?
28
CRM Performance Indicators (in higher ed).
Who are my best solicitors?
29
Pharmaceutical Portfolio and Project Management.
What are my best practices?
Milestone Sequence
Portfolio Summary
Milestone Gantt
30
Network Intrusion.
Why was this attack successful?
Alarm Trends
Alarm Penetration
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31
Company Scorecard.
Why are units underperforming?
Enterprise View
Low Performers
32
Travel Analysis
Why are flights consistently delayed?
33
Customer Insight.
Why are customers profitable?
Customer
View
One
Customer
Segment
Product
View
Sales
Channel
View
34
Wholesale/Retail
Why are revenues up, profits down?
Product Trends View
Customer
Rank
View
Transaction
View
Geographic
View
35

ADVIZOR Solutions® ADVIZOR Solutions

Transcription

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