SAP S/4 HANA Master Data Governance
CUSTOMER
2019-11
MASTER DATA GOVERNANCE, DATA QUALITY
MANAGEMENT
DEMO:
DATA QUALITY MANAGEMENT FOR PRODUCT MASTER DATA
Applies to SAP CAL Solution S/4 HANA OP 1809 FPS01 release and above
TABLE OF CONTENTS
Background information ........................................................................................................ 3
Demo Script ............................................................................................................................. 3
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
Preparation ........................................................................................................................... 3
Accessing the SAP Fiori Launchpad................................................................................. 3
Get an Overview ................................................................................................................... 4
Analyze Data Quality Score ................................................................................................ 7
Correcting Data .................................................................................................................. 11
Calculation of Data Quality Scores.................................................................................. 18
Validation Rules ................................................................................................................. 21
Creating Validation Rules ................................................................................................. 25
2
Background information
With the MDG on SAP S/4HANA, you can define validation rules to evaluate your product master data,
integrated with SAP Master Data Governance. You can quickly and easily get an overview of the
master data quality, even without having central governance or consolidation of master data
configured. As such, this is a perfect first step to analyze the quality of your product master data before
implementing, for example, data stewardship. For an overview, see this blog on the SAP.com
community and functional details.
This demo script will show you how to get a first impression on the master data quality situation in the
system. Starting from the topmost KPI of a global data quality score, you’ll then see how to analyze the
data quality evaluation in more detail and how to take corrective measures.
Demo Script
1.1 Preparation
The system is already prepared with examples of validation rules. These rules are for demonstration purposes
only and might or might not make sense in your business context. Furthermore, there is master data for a couple
of products available that can be used to evaluate their data quality using example rules. Several of such data
quality evaluations were already run in the system, so you can start to explore the analytical capabilities right
away.
Of course, you’re free to add further validation rules, master data, and to perform further data quality evaluations
as explained in this document.
1.2 Accessing the SAP Fiori Launchpad
In this section, you’ll see how to log on to the back-end system and access the SAP Fiori Launchpad.
Explanation
Screenshot
Log on to the CAL
S/4HANA system using the
information below:
• Client: 100
• User: MDG_EXPERT
• Password: Welcome1
3
Explanation
Screenshot
In the menu, double-click
the URL of the SAP Fiori
Launchpad.
The system will start a
browser.
Then log on once more
with the information
provided above.
The system will bring you
to the SAP Fiori
Launchpad.
Navigate to the Data
Quality Management for
Products section to see
the tiles that are relevant
for this demo script.
1.3 Get an Overview
As there are already example data and results of previous evaluations available, you can get an overview of the
latest data quality in the system.
4
Explanation
Screenshot
Have a look at the Data
Quality Evaluation
Overview tile.
It shows you the latest data
quality score and the
timestamp of the
evaluation on which this
score is based.
The score is highlighted in
red, which indicates a
critical level. Later you’ll
learn how this score is
calculated by the system.
Choose the tile to launch
the app.
The app Data Quality
Overview for Products is
based on the Overview
Page floorplan (see
https://experience.sap.com
/fiori-design-web/overviewpage/).
2
3
1
The app shows you six
cards to get an immediate
overview of the data
quality.
Card 1 – Latest Data
Quality Score. This card
shows you the latest score
of the data quality category
Global. The score is
written in red as it differs
greatly from the set target.
You can also see that the
Global category is made
up of the three data quality
dimensions Basic Data,
Logistics, and Sales.
You’ll learn later how to
define data quality
categories, dimensions,
and how each score is
calculated.
6
5
4
Card 2 – Data Quality
Trend (see below)
Card 3 – Latest Data
Quality Evaluations
Card 4 – Incorrect
Product Plant Data (see
below)
5
Explanation
Screenshot
Card 5 – Incorrect
Product Sales Data (see
below)
Card 6 – Incorrect
Product Data (see below)
Cards 4, 5 and 6 show you
the number of evaluation
results with erroneous
outcome on each
organizational level of your
product master data. The
lower the figure, the better
the data quality situation.
The figure on the card
Incorrect Product Data
includes the numbers of
the two other cards. You'll
find out more about these
numbers later.
You can switch the view of
these three cards with
incorrect product data. This
allows you to have different
charts of the number of
results that are erroneous.
Each card allows you to
get more information by
hovering over segments of
the chart. You can also
click on the card’s title or
on segments of the chart to
get more information. You’ll
use this in the next section
to analyze the data quality
score.
6
1.4 Analyze Data Quality Score
You might want to know the reasons why a particular data quality score is high or low. Learn how to analyze
such a score.
Explanation
Screenshot
On the Data Quality Trend
card, you see that there is
a steep decline in the score
for the Sales data quality
dimension.
Choose the title of the card
to investigate the reason.
7
Explanation
Screenshot
The system uses SAP
S/4HANA embedded
analytics (Smart Business,
see
https://help.sap.com/s4han
a a search for Smart
Business Runtime
Environment) to show you
the trend of the data quality
score for the category
Global.
You can click on the
Toggle Data Label
Visibility button to view
the measures.
In addition, you can switch
the view to see the score
by time and rule instead of
by time and dimension.
Switch the view to Score
by Time and Rule.
After switching the view,
you see that there is one
single rule with a very low
score. It seems as if this
rule was used for the first
time in the latest evaluation
since there’s no previous
score displayed for this
rule.
8
Explanation
Screenshot
Choose the respective
point in the chart to see
more information.
Use Evaluation Results
for Products to navigate
to more details.
The system displays the
evaluation results in detail
using an app that is based
on the Analytical List Page
floorplan (see
https://experience.sap.com
/fiori-design-web/analyticallist-page/).
Optional:
If the product does not
appear in the table, choose
the settings icon. Navigate
to Group and remove
Product from the list.
Choose OK.
9
Explanation
Screenshot
10
Explanation
Screenshot
Choose the rule Product
hierarchy assignment …
to get more information.
Check the rule details. As
this rule was only added
recently to check data that
was maintained differently
up to now, there are still
lots of errors in the data
that need to be corrected.
Learn how to do this in the
next section.
1.5 Correcting Data
To correct the erroneous data, you can:
-
Distribute the work so that somebody else corrects the data.
-
Navigate to applications to make corrections yourself.
11
Explanation
Screenshot
We start with the first
option and prepare a list of
erroneous data to be sent
by e-mail.
You can use the chart to
filter the table of evaluation
items and to further drilldown using attributes of
product master data.
Choose the bar Standard
Item (NORM) to filter the
table by this item category
group.
The number of evaluation
items declines from 134 to
94 (in this example, results
may vary if you’ve made
changes to master data or
rules).
Choose View By to choose
a field for further drill-down.
In this example, you’ll use
a Division. Start typing Div
into the search field, then
select Division.
12
Explanation
Screenshot
The chart will change to
display separate bars for
each product division value
in the data. In this
example: 01, 00 and a
separate bar for no value.
Since the rule checks the
Product Hierarchy field,
you might want to include
this field in the table to
check the values.
To do this, choose the gear
wheel icon in the table
toolbar to open the table
settings.
You can adjust various
settings of the table. For
now, stay on the tab
Columns to add a further
field as column.
13
Explanation
Screenshot
Type Hier in the search
field, then select Product
Hierarchy as an additional
column.
Choose OK to apply your
changes.
You can use the added bar
for going through the
results.
To download the table as
spreadsheet and send it by
e-mail, use the export
button in the table toolbar.
This will provide the user
with the current data as a
snapshot.
Alternatively, you can also
provide the user with a link
to live data by following the
next steps:
To send the current view of
this application, including
all filters, chart
visualization, and table
settings by e-mail, choose
the share icon at the top of
the page.
14
Explanation
Screenshot
This will launch a draft in
your default e-mail
program to assign the
correction work to the
appropriate person.
Alternatively, you can also
start the correction from
this app directly.
For example, you can
select one or multiple
products in the table for
mass processing.
Choosing Process
Products(1809) or
Process –
Selected(1909+) will
launch the mass
processing app with your
selection.
Another option (for 1909+)
is to choose Process > All
to select all products from
the table. In both options
you’ll navigate to the mass
processing app.
In the mass processing
app, you first need to
choose the fields that you
want to change. Please
see the separate demo on
mass processing for more
information.
Press Delete to remove
the process that you’ve
created.
15
Explanation
Screenshot
Then choose Delete once
more to confirm the
deletion.
You can also process
products individually.
Choose the product ID to
display a quick view.
There are multiple links
available for navigation.
If Change Material –
Governance and Manage
Product Master Data are
not available, use More
Links to add these to the
view.
The list of available
navigation links and the
applications for editing
depend on your user role.
Choose Manage Product
Master Data.
This will open the
respective app to change
the product without a
governance process.
Choose the back arrow to
return to the previous app.
16
Explanation
Screenshot
Alternatively, navigate to
the MDG application to
change the product in a
governance process.
Choose Change Material
– Governance.
The system opens the
application with the
selected product.
If you choose Continue,
you’ll get more information
about the selected product
to make changes.
17
Explanation
Screenshot
Choose Cancel and/or the
back arrow to return to the
previous app.
1.6 Calculation of Data Quality Scores
In the previous sections, you’ve seen that data quality scores give you an overview of the data quality on KPIlevel. Learn how these scores are calculated.
Explanation
Screenshot
Launch the Configure
Data Quality Scores for
Products app.
The category Global is
available. You can see its
latest score and threshold
settings.
The category Global is
used to provide the scores
to the page Data Quality
Evaluation Overview.
Scores of other categories
can be displayed using the
dedicated tile Data Quality
Score for Products.
18
Explanation
Screenshot
Choose the Global row to
open the details of the
category.
The app displays the data
quality dimensions of the
selected category in a
separate column of the
app.
You can see all dimensions
that were prepared as
examples, including their
latest scores and threshold
settings.
The system uses the score
of each dimension to
calculate the score of the
category as the average.
Click on the dimension
Sales.
The system displays the
details of the dimension in
a separate column of the
app.
You can see that there are
two validation rules added
to this dimension as
examples.
There are also the scores
of the rules. The score of a
rule is defined as the
number of results with the
outcome OK divided by the
number of results for this
rule in total.
The values in the column
Impact are used to
calculate a weighting factor
for each rule. This factor is
used by the system to
calculate a weighted
average of the scores that
will be used as the score of
the dimension.
To switch the app into edit
mode, choose Edit in the
column of the category.
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Explanation
Screenshot
In edit mode, you can add
further dimensions, change
the threshold values,
assign and remove rules to
dimensions, as well as
change the impact of the
rule in a data quality
dimension.
As an example, we will
change the impact of the
rule that we used in the
previous sections.
Currently, the impact of the
rule is set to Medium.
Since this rule was only
added recently, you can
temporarily exclude the
rule from influencing the
score of the dimension. To
do this, select None.
Save your changes.
After saving, the effective
weighting of the rule will
change to 0. Consequently,
the score of the dimension
Sales and the category
score Global will increase.
You can also see this in
the data quality overview.
Go to the home of the SAP
Fiori Launchpad, navigate
to the Data Quality
Management for
Products section, and
launch the Data Quality
Evaluation Overview
app.
Note that the score
displayed on the tile is
outdated in the screenshot.
The score is automatically
refreshed after a timeout or
when reloading the SAP
Fiori Launchpad.
20
Explanation
Screenshot
In this example, you can
see that the score of the
dimension Sales has
increased.
Go back to the app
Configure Score
Calculation and set the
impact of the rule to
Medium again.
1.7 Validation Rules
In this section, you’ll learn how to access all validation rules in the rule repository.
Explanation
Screenshot
Launch the Validation
Rules for Products app.
You can see a list of all
rules, including their
descriptions, status, and
latest score.
To search for rules or to
create a custom view on
the list, you can use the
filter bar, for example, to
group the list by the rule’s
base table.
21
Explanation
Screenshot
The rule’s base table
determines on which level
of the data model for
product master data the
rule is applied.
For example, rules with the
base table Basic Data
(MARA) are applied once
to each product and
produce one result per
product.
A rule with the base table
Sales Data (MVKE) is
applied to each sales area
for which a product is
defined. Consequently, the
rule can produce multiple
results per product, one for
each of the sales areas.
Choose the rule with the ID
FERT_005.
The system displays the
details of the rule in a
dedicated column of the
app.
You get an overview of the
latest evaluation of the
rule, the rule’s status, and
general information about
the rule.
For further information, you
can go through the
different sections of the
page.
22
Explanation
Screenshot
The section Dimension
allows you to see to which
validation dimension the
rule is assigned.
The section Evaluation
gives you more insight into
the latest assessment of
the rule.
The section
Implementation gives you
access to the
implementation of the rule
in BRFplus.
The Scope Expression is
used by the system to
determine if a product (or
parts of a product as
specified by the Base
Table) is in the scope of
the rule and was checked
with the Condition
Expression. The
Condition Expression
determines the outcome;
this can be either OK or
Not OK.
If the data is not in the
scope of the rule, there’s
no outcome.
Choose the link of the
Scope Expression.
23
Explanation
Screenshot
You can see that this rule
is only applied to products
with material type Finished
Product (FERT).
Return to the previous app.
Choose the link of the
Condition Expression.
The result of this
expression is determined
by calling the expression
Valid hierarchy node.
Expressions can either
implement the rule’s logic
directly, like for the scope
of this rule, or,
alternatively, other
expressions can be used
for further features of
BRFplus.
For more information on
BRFplus, search for
BRFplus on
https://help.sap.com/s4han
a.
For this sample rule, it is
useful to use a BRFplus
decision table. It lists all the
valid, and possibly also
invalid combinations of
values, for Division and
Product Hierarchy.
24
Explanation
Screenshot
Return to the previous app.
1.8 Creating Validation Rules
If you want to learn more, check out the extensive information provided in these blogs:
How to create and use data quality rules with SAP Master Data Governance on
SAP S/4HANA 1809 (Part 1)
How to create and use data quality rules with SAP Master Data Governance on
SAP S/4HANA 1809 (Part 2)
How to create and use data quality rules with SAP Master Data Governance on
SAP S/4HANA 1809 (Part 3)
How to create and use data quality rules with SAP Master Data Governance on
SAP S/4HANA 1809 (Part 4)
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