Best Practices Performance Improvement



Similar documents
2012 National BDPA Technology Conference. Defining Project and PMO Metrics

How SAP Business Objects Dashboards Are Improving Decision Making at Caterpillar Parts Distribution

POLAR IT SERVICES. Business Intelligence Project Methodology

Rapid Process Improvement (Lean Kaizen Event) Cristine Leavitt, DEED CI Director Minnesota Council for Quality April 5, 2012

Predictive Analytics in Action

THE TOP TEN TIPS FOR USING QUALTRICS AT BYU

Data Analytics: Exploiting the Data Warehouse

Business Intelligence

E-Filing in Los Angeles Process, Procedure & Lessons Learned

how to use the Bandwidth report A N A L Y T I C S

Pantone Matching System Color Chart PMS Colors Used For Printing

Business Intelligence

How To Color Print

Building a Data Quality Scorecard for Operational Data Governance

WebSphere Business Monitor

PUT TITLE HERE Attendance Support Project Update

Oracle Utilities Mobile Workforce Management Business Intelligence

Better Business Analytics with Powerful Business Intelligence Tools

Big Data for Satellite Business Intelligence

SAP Customer Success Story UniCredit Bulbank. UniCredit Bulbank: 360-degree view

WebSphere Business Monitor V6.2 KPI history and prediction lab

Los Angeles Community College District PROGRAM MANAGEMENT SERVICES. 90-Day Progress Report

QAD Business Intelligence Overview Demonstration Guide. May 2015 BI 3.11

Dashboards & Scorecards What Exactly Are They?

Workforce Development. Evaluation Toolkit

Google Analytics in the Dept. of Medicine

Human Services Decision Support System Data and Knowledge Management

Visualization Quick Guide

Demand Generation vs. Marketing Automation David M. Raab Raab Associates Inc.

MIP Ad Hoc Reporting System (MARS) Training

WebSphere Business Monitor

Journey To CMMS Excellence Manuscript

SAP Business Intelligence (BI 7) Reporting Training. General Navigation. Created by the Budget Office Bloomsburg University 2/23/2012

Lessons Learned in Security Measurement. Nadya Bartol & Brian Bates Booz Allen Hamilton

JCT ON DEMAND User Guide

Rockwell Software Online Demo System

NICE BACK OFFICE SOLUTIONS. Improve the Efficiency and Effectiveness of Your Back Office Operations. Insight from Interactions

KPIs and Improving Profitability with Business Intelligence SCOTT RANDALL ADVANCED LEGAL

SAP BusinessObjects (BI) 4.1 on SAP HANA Piepaolo Vezzosi, SAP Product Strategy. Orange County Convention Center Orlando, Florida June 3-5, 2014

SALARY $ $29.89 Hourly $1, $2, Biweekly $4, $5, Monthly $50, $62, Annually PARALEGAL

With business intelligence, we create a learning organization that adapts quickly to market changes and stays one step ahead of the competition.

Expanding Uniformance. Driving Digital Intelligence through Unified Data, Analytics, and Visualization

LAW ENFORCEMENT ESF 16

The 5 Questions You Need to Ask Before Selecting a Business Intelligence Vendor. Share With Us!

Business Intelligence Meets Business Process Management. Powerful technologies can work in tandem to drive successful operations

Demo - Sales Force. Cockpit

Lithichrome Stone Paint- LT Blue Gallon Lithichrome Stone Paint- Blue 2 oz Lithichrome Stone Paint- Blue 6 oz

TEST PLAN Issue Date: <dd/mm/yyyy> Revision Date: <dd/mm/yyyy>

Oracle Daily Business Intelligence (DBI)

PLANNING YOUR DASHBOARD PROJECT

Magic Numbers. An In-Depth Guide to the 5 Key Performance Indicators for Web Application Security. Rafal Los HP Web Application Security Evangelist

Data & Analytics in Internal Audit. January 13, 2015

Chapter 9: Software Tools and Dashboards

An Introduction to Web Metrics. Paul G. Strupp, Ph.D.

Performance Management and KPIs

MANUSCRIPT THE DETROIT WATER AND SEWERAGE DEPARTMENT S PERFORMANCE AND DASHBOARD SYSTEM (PADS): STRATEGIES, ACTIONS, AND MEASURES FOR OPTIMAL RESULTS

Why 70% of Dashboard Initiatives Fail

<risk> Enterprise Risk Management

WHITE PAPER. The 7 Deadly Sins of. Dashboard Design

Feature. Multiagent Model for System User Access Rights Audit

Lean Software Development and Kanban

XpoLog Center Suite Log Management & Analysis platform

MISOM. Case Study. Dragline Performance Improvements. A MISOM Advanced Solution. M. M. Kahraman & Dr. S. Dessureault

9 Reasons Your Product Needs. Better Analytics. A Visual Guide

Your Agile Team s Indispensible Asset

User Guide. Sales Performance App

GE Healthcare. Transforming radiology with actionable intelligence. *Trademark of General Electric Company

Enterprise Facility Management Software

Project Management Office Best Practices

Core Banking Business Intelligence: Transform Data into Information. Kevin Round, Product Manager Xamine BI Products

Technique 9.16 Metrics and Key Performance Indicators Gunter Wagner

PLC 1 SEPTIC SYSTEM SCADA SYSTEM OPERATION MANUAL. Revision 1.0 June 05, 2006

Edwin Lindsay Principal Consultant. Compliance Solutions (Life Sciences) Ltd, Tel: + 44 (0) elindsay@blueyonder.co.

Keeping up with the KPIs 10 steps to help identify and monitor key performance indicators for your business

Sonatype CLM Server - Dashboard. Sonatype CLM Server - Dashboard

IN SEARCH OF BUSINESS VALUE: HOW TO ACHIEVE THE BENEFITS OF ERP TECHNOLOGY

ICT Perspectives on Big Data: Well Sorted Materials

Oracle Utilities Mobile Workforce Management Business Intelligence

BUSINESS INTELLIGENCE

REAL-TIME & HISTORICAL FEATURES OF THE BLUEARGUS SOFTWARE SUITE

Oracle Banking Digital Experience

Transcription:

Enchanted Land Enchanted Future for Children Best Practices Performance Improvement Presented by: Leslie McGrew 27 th Annual Training Conference Santa Fe, New Mexico November 07-10, 2010

Colorado s Experience Business Intelligence Grant (BIG) Performance Dashboard Leslie McGrew Evaluation Supervisor Colorado Division of CSE

Purpose Synergistic relationship between compliance and performance Initiate system caseload analysis capability using business intelligence tools Replace monthly exception-based reports Improve individual and county caseload performance

Emphasis Accurate representation of information Clear understanding by CSE workers Ability to drill down to case level to specify actions needed

Elevator Statement The CSE Tools Performance Dashboard will give CSE staff the tools to view caseload health, and identify actions to help improve caseload management and program effectiveness as measured by the four key performance indicators.

Dashboard Design Principles Keep it simple Provide the needed information quickly and clearly Minimize distractions and unnecessary embellishments that can create confusion Maintain consistency with the design to ensure accurate interpretation

Project Development Business Intelligence Workgroup County, State and Federal representation Review proposed solutions Provide input on specific functionality Elicit support, participation and cooperation Project Development Team Small group of programmers Development of both data warehouse and performance dashboard

Data Warehouse (Closet) Provides appropriate information for the dashboard without overloading the main production database Warehouse cost prohibitive Initial closet to be expanded in incremental steps

CSe-Tools Browser based application toolkit Front-end application for statewide system Interfaces with statewide system using web services and file transfers Search and reporting capabilities Drill down capabilities to case and financial detail information from the statewide system

Performance Dashboard Prominently displayed in the middle of the CSe-Tools homepage Initial and immediate portrayal of caseload health on a single screen Visual display of prioritized information Ability to drill down to a list of cases that require action

Performance Dashboard (cont.) Specific to the following CSE Key Performance Indicators (KPI) Paternity Establishment Percentage Percent of Cases with Support Orders Percent of Current Support Paid Percent of Arrears Cases with a Payment KPI = quantifiable measurement that reflects an organization s critical success factors

Dashboard Format

Work Lists Based on logic of KPIs Redesigned after implementation based on feedback from grant participants Use of tags (colored dots) to identify a set of criteria indicating the type of action that may be needed

Tags Green Yellow Peach Orange Blue Pink Black NCP employer is verified I/A is active NCP employer is not verified Reciprocal case is initiating NCP employer is not verified Reciprocal case is not initiating NCP address is verified NCP employer is not verified Reciprocal case is not initiating NCP address is not verified NCP has phone number NCP has valid email NCP employer is verified I/A is inactive Order established or modified in last 30 days NCP Department of Corrections is yes $ Percent of MSO paid is greater or equal to 90%

KPI: Percent of Current Support Paid

KPI: Percent of Current Support Paid

Evaluation Data analysis for Percent of Current Support Paid Percent of Arrears Cases with a Payment Post-implementation surveys and interviews

Evaluation (cont.) Statistical findings invalid Low number of demonstration participants Short time-period (17 months) for grant Inability to develop assumptions and findings representative of the State Inability to isolate impact of variables

Evaluation (cont.) Post-implementation surveys and interviews provided wealth of information Lessons learned will ensure successful rollout of performance dashboard in CO Valuable information for other states interested in implementing a performance dashboard

Lessons Learned Training: Key to success Two-fold Functionality of the dashboard, especially if new technology is involved How to use the dashboard to manage a caseload Define clear expectations Replacement vs Supplemental tool Resistance to change

Lessons Learned (cont.) Value = Caseload Size Less value for workers with smaller caseloads or from smaller counties Ten large Colorado counties = 80% of State s caseload = very valuable to Colorado

Lessons Learned (cont.) Support must come from the TOP down Real-time interface is critical More information is not always better Ability to create personalized work lists Identify cases reported on multiple work lists

Lessons Learned (cont.) Functionality to record notes on work lists minimizes duplicated research and allows continuous analysis at a case level Matrix of appropriate actions for each work list/tag for less experienced workers

Finale Final grant report submitted September 30, 2010 Statewide rollout to commence January 2011

Transition Page