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UNDERSTANDING THE BENEFITS OF DIFFERENT BUSINESS ANALYTICS SOFTWARE TOOLS

DATA VISUALIZATION IS NOT ENOUGH!

Presented by Sisense: Business Analytics for Complex Data

Manage Data Analyze Data

• Access Data

• Clean and Structure Data

• Store for Analysis

• Analyze

• Visualize

• Filter and Interact

End-to-End BI

Visualization Software

There are Two Types of BI Software Tools:• End-to-end BI tools deal with the full scope of analyzing data• Data visualization tools deal only with the final stages of transforming data into visual representations

PREPARING DATA

Data Preparation MattersVisualization tools come with very limited data preparation capabilities. When does this become a problem and why?

• Use more than one type of data source

• Often forced to summarize data before analysis

• Have to turn to IT for most updates

• Want to analyze a large data set

• Work with messy, unorganized data sets

You might need to prepare your data for analysis if you...

And since most companies aren’t working with perfectly clean data, the end result is that…

of Effort Goes toData Preparation

80%That’s right. Research shows that most data analysis projects are mostly about getting the data ready.

In complex or even semi-complex data scenarios, data preparation is actually the more challenging and time-consuming part.

That’s why data visualization tools will rarely be “standalones”, and will usually require a host of additional tools to prepare and manage data.

JOINING DIFFERENT DATA SOURCES

Unlike full-stack BI software, data visualization tools lack a robust data integration engine and do not have the ability to join tables from different data sources. Why does this matter?

7

Scenarios in which you need to join multiple data sources

• When you need to explore a data set in

both summarized and detailed format

• When you are working with several types

of data source

• When you want to connect all your data

together

JOINING DIFFERENT DATA SOURCES: A REAL-LIFE EXAMPLE

Let’s try to answer a relatively simple business question:

Is there a correlation between prospects’ support tickets answered via the Zendesk platform, and the won\lost deal ratio as measured by Salesforce?

• Table 1 shows Salesforce data• Table 2 shows Zendesk data• Table 3 shows the data from both sources after it has been joined

Let’s see what joining different data sources can teach us about out business!

SALESFORCE DATA ONLYShows Outcome in Terms of

Won/Lost Deal. Doesn’t Show

Effort to Service Prospects

• Deal Size

• # Opportunities

• Type of Business

• Trend: #Opportunities + Deal Size

ZENDESK DATA ONLYShows Effort to Service

Prospects but Not Outcome –

Won/Lost Deal

• Tickets Answered

• Avg. Time to Close

• Avg. Tickets Per Organization

• Type of Ticket

• Trend: Tickets + Time to Close

ZENDESK + SALESFORCEShows Outcome in Terms of

Won/Lost Deal AND Shows

Effort to Service Prospects

• Total Tickets Won vs. Lost Opps

• Avg Tickets Won vs. Lost Opps

• Avg Deal Size Won vs. Lost Opps

• Top Won/ Lost Opps in terms of

Tickets Opened

• Trend Avg Tickets Won vs. Lost Opps

ADDITIONAL DIFFERENCES BETWEEN FULL-STACK BUSINESS INTELLIGENCE AND FRONT-END TOOLS

Visualization Tools

Forced to pre-aggregate first

Can’t join different data sources

Effort to manage many data models

No cleansing tools (ETL) / Forced to repeat tasks as data is updated

Eventually need IT, a data warehouse or both

Limited Data Preparation Capabilities

End-to-End BI

Connect directly to raw data

Create real joins between varied data sources

Manage a single data model –Support many sources, rows and columns

Visual environment no coding, use Excel-like functions to structure and clean data.

Single solution designed for business –Access, prepare, store & analyze

Automate Data Preparation in a Single Location

DATA ACCESS

DATA SOURCES

DATA MANAGEMENT

DATA CLEANSING

END TO END SOLUTION

Types of Business Intelligence Tools Compared by Capabilities

Thank you

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