The integration of Business
Intelligence tools with an organization’s Quality Management System or QMS can
lead to significant cost reductions and more effective implementation of
quality goals. Business Intelligence tools are used for measuring
operational performance. From a QMS perspective, BI tools now provide an
overarching look into the enterprise’s performance.
Doesn’t matter whether you are a
single location company or a global enterprise with extensive product lines,
measurement creates accountability. You get results by tracking ownership
of data and completion of activities. Measurement is essential in quantifying
performance gaps and providing insights into root causes of inadequate
performance. Measurement links quality management and performance to
strategic planning and operational execution via the use of specific BI
tools. BI quantifies the mapping and measuring of performance of business
processes to quality goals and objectives. Remember quality performance software has evolved from an individual’s toolkit into an
enterprise solution focused on increasing access to resources and overall
participation across the organization.
So we are all on the same sheet of
music, I will define some terms.
First,
what is a Quality Management System (QMS)? First, a “system” does
not necessarily mean software and computers. Your systems can be a
collection of file folders, excel spreadsheets, Word Doc, Visio charts,
auditing procedures or combinations thereof. A QMS is a common sense,
well-documented system ensuring enterprise-wide consistency &
improvement. The QMS is based on standards such as ISO 9000, 13485, ITIL,
etc., which specify procedures for achieving effective Quality Management and
Performance. The tracking and measuring of performance is critical to any
enterprise’s ability to maintain operational success and meet it’s stated
quality goals. Our focus is a best practices system improving your quality
ROI while meeting your internal standards. QMS software solutions
include best practices that utilize Business Intelligence for:
·
Risk Management
·
Customer Satisfaction
·
Infrastructure Management
·
Security Management
· Continual
Improvement
· Corrective
and Preventative Action (CAPA) - Internal Audits
· Customer
Complaints and Non-Conformances
Second,
Business Intelligence (BI) is simply a term referring to applications
and technologies used to gather, access, and analyze data and information about
the enterprise. BI helps companies have a more comprehensive knowledge of
the factors affecting their business, via metrics on performance, internal
operations, etc. The goal of BI is to make enable you to make better
business decisions with a fuller knowledge of the enterprise’s strengths and
weaknesses. Typical BI terms you may hear are:
1. OLAP
- stands for On Line Analytical Processing. It is an approach to
quickly provide the answer to analytical queries that are dimensional in
nature. Databases configured for OLAP employ a multidimensional data
model. This allows for complex analytical and ad-hoc queries with a rapid execution
time.
Other pieces of
OLAP include:
· Extract
Transform Load or ETL
· Relational
Reporting
· Data
Mining. Applying OLAP in managing business processes
2. Pivot
Table is another term. A Pivot Table is a powerful data
summarization tool. A Pivot Table can automatically sort; count, and total
data stored in a spreadsheet and create a second table displaying the
summarized data. Pivot tables are useful to quickly create cross
tabs. The user sets up and changes the summary's structure by dragging and
dropping fields graphically. This "rotation" or pivoting of the
summary table gives the concept its name. The output of an OLAP query is
typically displayed in a matrix or pivot format. The dimensions form the
row and column of the matrix, the measures, and the values.
The rationale
for using BI is that the technology enables the enterprise to make more
informed business decisions and reduce operating costs. BI improves the timeliness
and quality of information. Managers are better fiscal and risk managers
of the organization’s infrastructure. BI helps companies analyze changing
risk trends; changes in customer behavior; customers' preferences; company
capabilities, and market conditions. Business intelligence can be used to
help managers determine which adjustments are most likely to respond to
changing risks. When a BI system is well-designed and properly integrated
into a company's processes and decision-making process, there is improvement in
the company's performance.
So what are the overarching
characteristics and an effective QMS we are looking for?
·
Clear & current policies regarding processes, risk management, &
continual improvement
·
Sustainable, within multiple product lines
·
Well-defined Responsibility & Authority
·
Direct Sight” enterprise-wide to track performance and examine and
correct root causes
·
Immediacy of information - ad hoc reporting
·
Real-time access of data in a central repository
Once we have this, then you can
begin using BI. The first key element is the Key Performance
Indicator (KPI). KPIs are metrics that are tied to an objective
with at least one defined time-sensitive target value, with explicit thresholds
which grade deviance between the actual value and the target. KPIs are
either financial or non-financial metrics used to quantify objectives to
reflect the strategic performance of an organization. A KPI is used in
business intelligence to assess the present state of process/activity and to
prescribe the course of action. The act of monitoring KPI's in realtime is
known as business activity monitoring. KPIs are frequently used to
"value" difficult to measure activities such as engagement, service,
and customer satisfaction.
With KPIs we can integrate then
into two BI tools:
The first is the Balanced
Scorecard. BSCs were designed by Robert Kaplan and David Norton in
1992. BSCs allow the manager to link corporate objective with specific KPI
and projects. The enterprise can match performance in meeting long term
goals. For example, most failures in meeting quality goals are due to
misalignment of the stakeholder analysis to the strategic alignment and
direction. The BSC can align the company’s long-term strategies with the
quality projects and track the data so that the information is actually a
treasury of data to the company.
The second tool
to integrate the KPIs to quality performance is the dashboard. The KPIs
become gauges on your dashboard. You don’t have to look under the hood to
see if your engine is over-heating or your car needs gas. Gauges on the
dashboard tell you at a glance what’s running smoothly and what needs
attention. Dashboard gauges allow you to manage your QMS in the same
way. Business dashboards bring you complex information in a simple,
graphical format. Dashboards condense large volumes of information to show
the big picture and give you important warnings. You view and combine data
in a way that lets you immediately see areas of concern, trends, limits
surpassed, unmet quotas, and other indicators.
Now when a violation of a KPI
threshold occurs you can take appropriate action. Corrective and
Preventative Action (CAPA) is the process to determine the root cause and make
improvements. Further, you can set up Alerts and have automatic
escalation. Alerts and KPI thresholds are opposite sides of the same
coin. Alerts are actions taken once a KPI threshold is
reached. Alerts may or may not be defined for every threshold
boundary. Alerts serve as a warning system when a KPI shows poor
performance or an undesired trend. Alerts should trigger attention-capturing
actions such as automatic e-mails and/or visual indication such as blinking or
animation on the dashboard. Alerts function to promote management-by-exception. With the
ever-growing information load, it is possible that a user may overlook a red
flag in a KPI. Alerts in conjunction with automatic escalation insure that
any negative exception is not overlooked and that appropriate personnel are
informed immediately. In addition to dispersing the information to the
right person at the right time, alerts may also be deployed to introduce
system-controlled checks and balances and to institute appropriate actions or
events. For example, if inventory level goes below the safety stock level
for a certain part, an alert may trigger a purchase order in the system for a
preset quantity against the supplier of that part. You have
closed-the-loop insuring when a threshold is violated corrective action is
taken and implemented.
In
Summary - The integration of Business Intelligence supports KPIs that populate Dashboards and Balanced Scorecards. Using
OLAP and Pivot tables from existing data sources such as Excel spreadsheets,
dBase files, flat files, and/or relational databases you have drill down to
supporting details in multidimensional reports, and ad hoc queries. In other
words, view your business information in the way most meaningful to
you. These elements coupled with alerts and escalations are the key
tools of a “closed loop” performance system to define and measure progress
towards your quality goals.
About
Vintara - Vintara is the leading
provider of fully automated, web-based enterprise quality and performance
management solutions and services within the international accredited standard
environments of ISO 9000, 13485, and ITIL. Incorporating internationally
recognized current best manufacturing practices, our software’s functionality
and innovative technology crosses all quality and process standards to deliver
the solutions that manage and administer quality, content, documents, and
processes to meet international standards and requirements for ISO 9000 and
medical device manufacturing. The portal gives enterprise-wide Visibility
to insure best practices and strategic alignment with the company’s goals.
Contact Steve Anderson at sanderson@vintara.com
or 877.VINTARA or 877.846.8272
Visit at www.vintara.com