INTRODUCTION OF SISENSE PRISMSiSense Prism is a product suite for

building business intellgence solutions.  Prism is a single integrated environment providing an extensive toolset to accomplish the following:  

Analyzing data: Formulate complex business queries using an intuitive visual interface, add custom calculations

Visualizing data: Use a wide range of data visualization widgets to visualize data

Preparing the data for analysis: Merge data from disparate sources, manipulate and cleanse data, full ETL capabilities.

Support for large data volumes: Powered by ElastiCube technology, queries millions of rows of data in seconds.

WHY BUSINESS USERS LOVE PRISMNo need for IT involvement in data,

preparation, data management or report/dashboard creation.

Self-service, mouse-only creation/ customization of analytics, queries reports and dashboards.

No programming or scripting whatsoever.

Rich, interactive data visualization with mouse-click drill-down.

Immediate results from new queries and/or newly added data sources of any size.

Easy sharing of dashboards, reports and data via a central server or by exporting to Excel or PDF.

PRISM BI SOFTWARE WALK THROUGHIt involve three steps from your

raw data to powerful BI without any programming.

Step 1: Get the Data:- After installing Prism, the first

step is to use the Prism ElastiCube Manager to import source data files, connect to cloud data sources and/or to any ODBC-compliant database.

Prism will intelligently link data with shared fields, and you may further specify relationships among the data sources using a user-friendly graphical interface.

The result is a self-contained compressed data repository called an ElastiCube.

Updated data and new data sources can be instantly added to an ElastiCube at any time, without the need to rebuild the entire data store.

Step 2: Design Queries, Dashboards, Reports, etc.

Once an ElastiCube has been created, the Prism BI Studio is used to create, manage and share interactive reports, dashboards and guided analytics applications using only a graphical user interface, and without the need for programming knowledge or database management skills.

Step 3: Publish and Share Dashboards, reports and analytical

applications can be easily published to any number of users in the organization.

Everything runs off the server, there is never a need to send large data files from user to user.

Business intelligence dashboards, reports and data may also be exported to Excel and PDF.

TECHNOLOGICAL BREAKTHROUGH BEHIND PRISM1. Columnar Data Storage:- Prism stores all the data it

processes in ElasticCube data repositories, which are column-based data stores containing the unified data of all combined data sources.

The primary advantage of columnar data storage is very fast access to the specific fields required for particular queries.

Just-in-Time In-Memory Processing

Prism performs all query processing on data which is loaded into memory only when it is needed for a query. This approach provides query processing which is exponentially faster than typical systems, which access data stored on disk.

Elastic Data Structure Prism's data storage and

handling is based on an "elastic data structure," which essentially means that the database schema is changed automatically and on the fly, whenever required.

The user can instantly add new data sources, new tables or new fields at any time.

ADVANTAGESQuick Setup, Immediate ROIEasy-to-Use, Self-Service BI

SolutionAn End-to-End Solution for

Businesses of Any Scale or Industry

Centralized Data Storage and Management

Leverage your Existing Hardware and Personnel Resources

WORKING WITH PRISM BI SOLUTION

MAI

SELECTING A DATA SOURCEBring up the Data Source

Creation Wizard, by navigating to Data->New Connection.

Connect to an Excel file by clicking on Excel and selecting the desired file.

1 Connect to a worksheet or a Named Range2 The name of the worksheet or Named Range3 When connecting to a worksheet, import data from the entire sheet4 When connecting to a worksheet, import data from an explicit range5 Use the first row in the data as names of fields6 Preview the data7 Show\Hide fields from the preview window8 Define the culture that will be used when parsing dates, numeric values andcurrencies

TO ADD/REMOVE A DATA SOURCETo add or remove a Data Source

for an existing connection, navigate to the Data->Manage Connections menu and bring up the ‘Manage Connections’ window.

The Data BrowserThe Data Browser is the main

tool for browsing and managing a Data Source. It is located on the left hand side of the main application window.The higher nodes in the Data

Browser represent Dimensions. The icon next to the Dimension’sname indicates the type of Members it contains:

Browsing the Members of a Dimension

Browsing The MeasuresThe ‘Measures’ node holds all the

Measures currently defined for the Data Source.

The name of the Measure is typically made up of the defined aggregation and the field it applies to, such as Average Sales, Sum Cost, etc

OVERVIEW TO WIDGETSWidgets are used to visualize

data, perform actions and accept input from users. When you hover over a Widget with the mouse, the Widget Toolbar will appear.

Single Value IndicatorsSingle Value Indicators that

visualize a single value. Some indicators allow configuration of colored range thresholds, to better visualize when the indicator value is between pre-defined limits.

SelectorsSelectors are Widgets that are

used to make selections that affect queries in other Widgets.

Connecting a Widget to Another WidgetHaving the selection in one Widget affect the

results in a different Widget is a very powerful feature.

It allows creation of interactive dashboards where end-users can easily specify filters on the data they are looking at.

Every data-bound Widget has a dedicated button for getting its Background filters from another Widget.

Clicking on this button will bring up the list of Widgets that can be connected to the selected Widget. After making your choice, click ‘Apply’ to have the changes take effect.

A Widget can be connected to another Widget, if one of the following conditions applies:

- Both ‘input’ and ‘output’ Widgets are bound to the same Data Source.

- Both ‘input’ and ‘output’ Widgets are bound to different Data Sources, but the ‘output’ Data Source contains Dimensions identical to the ones in the ‘input’ Widget.

ElastiCubesElastiCubes are high performance

data stores optimized for fast query response. ElastiCubes allow you to bring in data from multiple sources, merge, manipulate and then query it as if it was one consolidated data set.

Conceptually, an ElastiCube is just like a big table. It is made up of fields where each value in one field has a corresponding value in another field.

The data for an ElastiCube can come from one source, multiple sources or even from multiple phyiscal locations.

For example, the image below defines an ElastiCube with 24 fields. The data for the ElastiCube originates from three tables: PurchaseOrderHeader (11 fields), Employee (11 fields) and EmployeeAddress (4 fields).

You may have noticed that the total number of fields at the source is 26 yet the number of fields in the ElastiCube was said to be 24.

This is because the three tables have a shared field. The three connected lines, called relationships, indicate that EmployeeID field - which exists in all three tables - is in fact the same field.

Relationships allow ElastiCubes to correlate between data that originated from different sources.

ElastiCube AdvantagesElastiCube technology make queries over

millions of rows of raw data return in seconds, with moderate hardware requirements including standard desktop-class computers with a reasonable CPU and 2 GB of RAM.

ElastiCubes can do this without having to pre-aggregate and pre-calculate the data ahead of time and store it on the hard-drive, thus radically reducing required import/processing time and storage space.

ElastiCube Use CasesElastiCubes are most useful when

one or more of the following is true:

1. Large amounts of data need to be analyzed

2. Data for analysis originates from multiple disparate sources.

Building an ElastiCubeBuilding is the process where the

ElastiCube is materialized. The build process goes over the tables, fields and relationships defined in the ElastiCube project and materializes the ElastiCube accordingly.