The document outlines the features and capabilities of SAP Lumira, a data visualization application that allows users to manipulate and report on data. It provides information on acquiring and editing data, creating various types of charts, and performing forecasting and analysis using historical data. Additionally, the document lists training and technical support options available for users of the software.

1. Corporate /Individual training
Technical support
Statistics Models
Forecasting
Contact-bidwhm@gmail.com
INSTALLATION
ADMINISTRATION
Online /Class Room Corporaete TRAINING
TECHNICAL SUPPORT

2. SAP LUMIRA
 SAP Lumira Desktop is an application you can use to
visualize and create reports about data.
 Manipulating, editing, formatting, and refining data to
creating visualizations that represent data graphically,
to finally sharing the visualizations

3. SAP LUMIRA
 You can publish datasets and stories to other
applications and platforms, including the following
places:
SAP HANA
SAP BusinessObjects Business Intelligence platform
SAP Lumira, server for teams (previously called SAP
Lumira Team Server and SAP Lumira, Edge edition)

4. Acquiring data
 Acquire data by copying it from a data source to a local
dataset.
 When acquiring data, the application displays a
preview of it, parses the data, and analyzes the
columns to determine the data type
 The maximum number of cells that can be acquired is
determined by the capacity of your computer. You will
be warned when an acquisition includes 30 million
cells for 64-bit operating systems or 15 million cells for
32-bit operating systems.

5. Acquiring data
Acquiring data from a text file
Acquiring data from SAP HANA views
Acquiring data from an Excel workbook
Acquiring data using Query with SQL
Connecting to a universe data source
Editing an acquired dataset
Objects hidden from the object list
Download data from SAP Business Warehouse
extension
SAP Universe Query Panel extension

6. Desktop

7. Manipulation Tools panel
Duplicate, rename, and remove columns
Create calculated dimensions
Find, replace, and change string values
Fill in prefixes and suffixes
Convert, trim, and group values
Edit text strings

8. SAP LUMIRA
Measure and Dimension
Filtering Data
Formatting Data
Converting data to another type
Creating Hierarachies
Creating Measures
Sharing Datasets

9. Working with multiple datasets
Adding a dataset
Switching to another dataset
Merging datasets (JOIN)
Appending datasets (UNION)
Removing a dataset
Dataset linking

10. Visualize room—creating charts
Creating Charts
Chart types
Data Sorting
Filtering Data
Conditional Formatting
Reference Lines
Hierachical Data
Forecasting
Lnear regression
Influence analysis

11. Comparision Chart Types
Bar Chart
Column Chart
Column Chart with 2 Y-Axes
3D Column Chart
Marimekko Chart
Radar Chart
Area Chart
Tag Cloud
Heat Map
Crosstab

12. Percentage Charts
Pie Chart
Donut Chart
Pie with Depth
Stacked Colu
Tree
Funnel Chart

13. Correlation Charts
Scatter Plot
Scatter Matrix Chart
Bubble Chart
Network Chart
Numeric Point
Tree

14. Trend Charts
Line Chart
Line Chart for Date/Time Series
Line Chart with 2 Y-Axes
Combined Column Line Chart
Combined Column Line Chart with 2 Y-Axes
Scatter Plot for Date/Time Series
Bubble Chart for Date/Time Series
Waterfall Chart
Box Plot
Parallel Coordinates Chart

15. Geo Graphic Charts
 Geo Bubble Chart
 Geo Choropleth Chart
 Geo Pie Chart
 Geo Map

16. Using calculations in the Visualize
room
The following calculations are available:
Counter
Running Calculations
 ○ Average
 ○ Count
 ○ Minimum
 ○ Maximum
 ○ Sum
Moving Average
Percentage Of
Difference From
Custom Calculation

17. Forecasting
The forecasting capability in
SAP Lumira lets you use
historical data as the basis for
predicting future values

18. Linear Regression
You can apply a linear
regression to your data, to
visualize a linear trend or
to predict future data
based on the linear trend
in your data.
Linear regression uses a
measure and a dimension
that is part of a time
hierarchy (for example,
Month) as its inputs.

19. Influence analysis
Using SAP Predictive Analytics influence analysis, you
can look at a specific measure in your data to
determine
which dimensions are influencing that measure the
most. SAP Lumira then suggests related visualizations
based on the analysis.

20. Lumira functions reference
Aggregate
Character
Date and Time
Expression
Miscellaneous
Numeric
Operator

21.  Corporate /Individual training
 Technical support
 Statistics Models
 Forecasting
 Contact-bidwhm@gmail.com