Big Data Made Easy with iMIS Continuum

Marty RabenovetsDirector of Product Management

Continuous Performance Improvement Cycle

Challenges for Organizations

• What & How to Measure– Metrics– Key Performance Indicators (KPI)– Big Data

• How to Interpret (Analyze) the Results• How to put Analysis into Practice

One cannot have continuous performance improvement without a measurement strategy .

What is Continuum?

‘Continuum (measurement),

anything that goes through a

gradual transition from one condition, to a different condition, without any

abrupt changes’

Wikipedia 2013

What is Continuum?

‘A series of products and services that

enable an organization to realize

Continuous Performance Improvement’

iMIS, 2012

Continuum Elements

•Management Reporting• IQA Queries & Reports• SSRS Reports

•Charts & Dashboards• IQA Charts & Dashboards• iDashboards

•Analytics: Comparative Analysis• Guided Performance Scorecard (GPS)• Google Analytics• iMIS Analytics• RFM Analytics

iMIS Continuum

• Reporting– Standard Reports– IQA Queries– IQA Reports– SSRS Reports

iMIS Continuum

• Charts & Dashboards– Strategic– Tactical– Operational– Individual

iMIS Continuum

• Analytics• Guided Performance

Scorecards• Google Analytics• Cube Analysis

• Data Warehouse• Cube Analysis• Supports OLAP

Compatible Tools

Google Analytics

iMIS Analytics

Table of Contents Sheet # - # of PagesRevenue by Product Class 1-2Revenue by Country 2-3Revenue by Customer Type 3-5Revenue by Campaign 4-2Revenue by Customer Type Decomp 5-2Revenue by Country Decomp 6-2Revenue by Product Class Decomp 7-2Revenue Growth 8-2Committee Counts 9-2Memebership Dues Count 10-6Membership Renewal Rates 11-6Opportunities by Stage 12-2Opp. Breakdown by Stage 13-4Forecast Totals by Cust. Type 14-2Opportunities by Channel Type 15-2Opportunities by Team 16-2Pledges by Campaign 17-1Pledges by Customer Type 18-1Revenue by Response Type 19-2Rev by Campaign & Response Type 20-1Inv. by Product and Warehouse 21-1Inv. by Product Group 22-1

Refresh Data

Sales Amount Customer TypeDate accrual dues member Non Member Prospect Regular Member Grand Total

2005 100 1002006 1,000 1,0002008 1,075 1,0752009 525 5252011 350 1,600 1,950

2011-Q2 100 1002011-Q4 350 1,500 1,850

2011-12 350 1,500 1,8502012 1,500 2,265 100 2,005 5,870

Grand Total 1,500 2,615 100 6,305 10,520

2011-12

2011-Q2 2011-Q4

2005 2006 2008 2009 2011 2012

Revenue by Customer Type

Regular Member

Prospect

Non Member

accrual dues member

Customer.Type

Date.Calendar

Customer Type

Regular Member

.Unknown

Applicant

Associate Member

Company Member

Donor

Calendar Year

2005

2006

2008

2009

2011

2012

Continuum Services

• Specialized Training• Analysis and Recommendations• Tailored Reports, Charts &

Dashboards

•Customer Participation Required

Future of Continuum

• Data Store • KPI Gallery• Industry Comparisons• More Standard Charts• Predictive Analytics

Big Data Made Easy with iMIS Continuum

Marty RabenovetsDirector of Product Management