Companies interested in driving their business by offering analytics spend a lot of time researching and evaluating embedded BI solutions. Is it better to build or buy? What are the different cost factors? Get all the answers in this eBook. -Pros and cons to building vs. buying embedded analytics -See how Sisense stacks up against other vendors -Get real-life use cases of embedded analytics -Compare cost, features, scalability, and time to production of vendors See guide here: http://www.sisense.com/whitepapers/embedded-analytics-guide/

2. How to Make Analytics Your Competitive Differentiator......................3
Top Approaches to Embedding Analytics & BI..........................................7
Partner with the Best: Sisense's OEM Solution.......................................11
Comparing Embedded Analytics Partners...............................................22
Unique Technical Benefits of Sisense OEM Solution............................31
OEM Customer Stories....................................................................................33
Contents
1.
2.
3.
4.
5.
6.

3. Businesses across all applications and in
every industry are faced with mountains of
data. Finding a meaningful way to manage
this data has become a necessity, especially
when it’s data that can help your customers
or partners succeed. The only question is:
will data be your company’s weak point or
competitive differentiator?
In today’s ambitious business environment,
customers want access to an application’s
data with the ability to interact with the
data in a way that allows them to derive
business value. Afterall, customers rely on
your application to help them understand
the data that it holds, especially in our
increasingly data-savvy world.
How to Make Analytics
Your Competitive
Differentiator
section
1

4. To capitalize on the value of their information, many
companies today are taking an embedded approach
to analytics and delivering insights into the everyday
workflow of their users through embedded analytics and
business intelligence (BI). However, in order to successfully
expose analytics to customers and partners, companies
are faced with three main challenges:
This guide will help you gain a strong sense of the
embedded analytics marketplace and understand the
most strategic way your company can benefit from
embedded analytics.
Manage complex data (big and disparate
datasets) quickly
Securely share data and insights
Ensure the solution is built on scalable, cost
effective infrastructure
Learn all about embedded analytics in this guide, including
a general overview of embedded analytics, the different
approaches to embedding BI and analytics, and the
benefits and challenges of the most popular BI solution
technologies that offer OEM partnerships.
Gareth Barry, CEO and Founder of Unleashed
Sisense enables us to have information
at our fingertips and make decisions based
on data, we have created a competitive
advantage for ourselves and our customers.
1
2
3

5. 5
Embedded analytics is defined as when analytical
capabilities such as data management, reporting and
visualization are built into other business applications
and solutions. Service providers, including on-premise,
cloud-based or hybrid solutions, can then offer customer-
facing dashboards, reports, and services such as software
infrastructure, platforms, and processes.
Gartner reported that today 25% of analytics capabilities
are embedded in business applications, while other
industry research firms stated that as high as 40% percent
of organizations are embedding analytics. Both numbers
show the incredible growth of embedding analytics and
point to a high-value return on investment.
What's
Embedded Analytics?
Many companies today are embedding analytics into
their application so users can access insights from their
data in easy-to-understand reports and dashboards.

6. 6
In fact, the value is two-fold: service providers who are using embedded analytics to help their customers be more
successful are simultaneously creating a powerful competitive differentiator. The outcome? Happier, more loyal
customers, and a strong competitive advantage for the company.
Other top benefits service providers are experiencing include improved user experience, new revenue streams, and
increased average customer value:
Figure 1: Embedded
Analytics What's in
lt for Me?
53%
37%
29%
26%
0% 20% 40% 60%
Differentiate products and develop competitive advantage
Improve end-user experience,
protect installed base
Create net- new revenue streams
Increase average
customer value
Service Providers
% of Respondents n=41
Source: Aberdeen Group, Juty 2015
Aberdeen Research Group discovered that 53% of service providers are embedding analytics to
drive competitive advantage, and the top service providers who did saw a 31% year over year
increase in customer base.

7. section
2 Top Approaches to
Embedding Analytics & BI
If your company is convinced it needs
analytics, but is still on the fence about
which approach to take, they are probably
engaging in the famous “Build vs. Buy”
debate- weighing the pros and cons of
building a BI solution versus buying an
embeddable BI solution.
At the heart of this decision is an assessment of your
organization’s R&D or IT capabilities and understanding
the risks and benefits that arise when relying on internal
development teams.
Build
Buy
vs.

8. 8
Building BI In-House
Considering the initial build of a BI solution and the
ongoing maintenance required is an important aspect to
the decision of ‘Build vs. Buy’. While building BI in-house
gives you complete control over features and integration,
it requires staffing an entire development team.
Specifically, R&D is an expensive resource that is not
only focused on internal systems, but also on developing
products and services. BI projects are long-term and
require constant iterations resulting in a serious cost to
divert expensive R&D resources to non-core activities
like building and maintaining an in-house BI solution.
This requires ongoing investments of time and budget
from R&D- a budget that is likely to get exorbitantly high
as data, users, and general analytics needs increase.
Another issue that arises from growing BI out of your
technical department is that the knowledge of the actual
BI needs stems from the business users rather than the
technical departments, leading to significant risk that the
BI solution will be misaligned with actual requirements and
need constant and time-consuming iterations.
Finally, as the amount of data and users grow and new
changes in your company arise, an in-house solution
will need to develop quickly to meet new, unanticipated
needs. Due to differences in priorities between R&D and
business departments, users often experience excessive
delays in getting the data or analysis in a timeframe that is
actionable and fail to deliver results.
Remember, an established BI tool grows and
innovates with the market, and an in-house BI tool
will require similar time and R&D investments.

9. 9
Becoming an Original Equipment Manufacturer (OEM) Partner for BI
Today, it is much more common to embed an business
intelligence solution by working with a BI partner and
embedding their product through an original equipment
manufacturer (OEM) agreement. Becoming an OEM is
proven to be the easiest and most-effective way to offer
business intelligence because it allows you a fast time to
market using an established BI solution and technology.
Many of the resource allocation and budget issues
dissipate by embedding a BI solution, especially one with
technology built on cost effective infrastructure and that
can easily scale to your current and future data needs.
In fact, top BI analyst and researcher, Wayne Eckerson
described the movement towards embedding analytics as:
“The best way to simplify and operationalize BI is to embed
it directly into operational applications and processes
that drive the business. This is the definition of embedded
analytics, and it’s the next wave in BI.”
Eckerson went on to say that future of BI and its continued
success in terms of user adoption and extensive
deployments is dependent on embedded analytics.

10. 10
Since Sisense OEM partners specialize in business intelligence, we provide a solution built to deliver high-quality,
white-labeled, interactive data analytics that is scalable and cost effective.
Sisense’s single goal and R&D focus is to deliver powerful and intuitive business intelligence, so your application’s
analytics will be updated periodically and always stay on the cusp of a rapidly-evolving market.
With Sisense, you can easily get value from your data without
training or experience since it's just so easy to produce
quality, insightful analytics- a tool with no learning curve.
James Davison, Senior Data Analyst, Celestica

11. 11
Partner with the Best:
Sisense's OEM Solution
section
3
Sisense is a fully extensible, Since-Stack™ embedded BI
solution. Our unique Single-Stack™ solution provides an
end-to-end software that lets you easily prepare, analyze
and visualize complex data without any additional
tools- so that you and your users will have everything you
need to analyze big data from multiple sources.

12. This year, Sisense was named in the Gartner Magic Quadrant for BI and Analytics and singled out as having one of
the most powerful OEM partnership offers: “Sisense has a strong OEM partner network.” Gartner’s annual report
on Business Intelligence and Analytics is often considered the most well-researched and highly-regarded point of
reference to understand the layout of the BI landscape, which is why we are proud that Gartner highlighted that many
OEMs have been choosing Sisense as their embedded analytics solution:

13. 13
Fastest
Time to Market
Complete
Customization
Unparalleled
Scalability
Granular Data
Governance
Lowest
TCO
Agile
Analysis
1 2 3 4 5 6
Unique Business Benefits
of Sisense OEM Solution

14. 14
Though implementation of a BI solution can be a long and ongoing process with business users
struggling to define requirements upfront, Sisense mitigates this risk by offering a full stack,
self-service solution we call our Single-Stack ™ architecture. Sisense’s Single-Stack ™ solution is
designed for business users to iterate and explore questions quickly and independently.
Building and sharing dashboards is always a breeze with Sisense’s instant implementation and
white labeling. Connect to your data sources in a click, create a drag-and-drop data model and
immediately start building customer-facing, HTML5 dashboards and reports. Add your own branding
and customizations independently or with the help of our dedicated customer success team.
Sonny Rivera, VP of Information Technology at EDA
In our first year using Sisense we were able to
generate over seven figures in revenue...
We're not a big data company, we're a big insights
company and Sisense is a fundamental part of our
business strategy.
1 Fastest Time to Market

15. 15
Customization is important especially for OEM purposes, which is why we offer an API-first design
that allows for complete customization. Developers fall in love with Sisense because it enables
them to build their own data product on top of an extremely powerful backbone.
Every element in Sisense is designed to be accessed and modified via extensively documented
JavaScript and REST API. With single-click SSO and Active Directory integration, customization is
advanced and extraordinarily easy.
Sisense offers comprehensive features to customize to your business, such as SSO, embeddable
widgets and dashboards, comprehensive data and row level security.
2Complete Customization2Complete Customization

16. One of the toughest challenges when choosing a BI solution is the inability to predict future
requirements in scalability. Multiple factors change that demand more resources such as data
size, user numbers and the volume of analysis.
Sisense was designed from scratch with a scalable, memory-optimized columnar database
that can comfortably handle terabytes of data, many users and concurrent queries.
Our powerful and award-winning In-Chip™ data engine that powers Sisense makes our OEM
solution perfect for larger enterprise implementations or any business that experiences growth.
Performance never suffers, even when working with big data, dozens of disparate data sources,
and large amounts of concurrent users.
Quentin Villon, Qualifa Business Analyst at Qualifa
Our 200 or so users are able to see
dashboards with near real time data and
get an instantaneous response from a
single average server; no need for server
farms and complex Map/Reduce processes
that are outdated and difficult to produce.
3Unparalleled Scalability

17. 17
Control user access and define exact permissions on a need-to-know basis by limiting access of
database, row, dashboard or user level. Create out-of-the-box dashboards and reports or give
your users the freedom to create any view or visualization.
4 Granular Data Governance
James Davison, Senior Data Analyst, Celestica
Sisense changes the way you think about
analytics: instead of an arcane IT project, it's
something that a business user can use to
derive value immediately.

18. 18
When considering embedded analytics, the ability to quickly ask new questions is of high importance since
companies are always faced with the need to promptly satisfy customer requests. Sisense provides the only
business intelligence solution that lets users instantly analyze and visualize both big or disparate datasets with
agility. By covering the full scope of business analytics in one agile BI software, Sisense can take users from
preparing complex data for analysis to creating dashboards with a wide variety of visualizations in a single tool.
Users get instant answers to their new questions as the natural process of analysis progresses.
Some agile features include the ability to drill down to the most granular raw data across all data sources,
and add tables from multiple sources without creating aggregations, indexes, or summary tables in advance. The
ability to incorporate new data on the fly without a DBA, IT team, or specialized scripting empowers users to ask
new questions and act on the answers in the proper timeframe.
5Agile Analysis

19. 19
Adam Clark, the Product Manager at EEG Events
Because Sisense is hugely scalable and can
be easily white labeled and embedded, we are
already making our investment back- and it's
been just months.
The most significant cost of an embedded BI solution is often derived from maintenance and
upgrades. Continuous involvement of a development team and other skilled personnel to extend,
support and maintain a BI tool takes resources away from core applications.
Sisense provides full support maintenance and upgrades, and is easy for business users to use
and navigate. Sisense’s award-winning technology is built with an infrastructure that can be easily
customized to your business needs, requires a short time to value, and has the scalability to cope
with significant growth in data, users and queries. This drastically reduces total ownership costs by
mitigating the need for internal R&D teams to support constant changes for end users.
6Lowest Total Cost of Ownership

20. 20
True Long-Term Partnership
We see our OEM customers as partners and therefore Sisense provides all the dedicated support,
training and maintenance as it’s needed, when it’s needed. See why so many companies have chosen
Sisense as their embedded BI tool.

21. Scales to terabytes of data
Processes large volumes of data quickly
(terabytes of data, dozens of sources,
hundreds of millions of rows)
Mobile Embeddability
Users can take their own mobile apps
and embed Sisense widgets within
Extensible Visualization
Sisense API allows users to create
custom visualizations from popular
Javascript libraries (e.g. D3)
Scales to many concurrent users
Supports multiple concurrent user
queries, with the ability to customize
views of the data
Minimal Hardware Costs
Designed for commodity hardware
regardless of data size
Full White Labeling
Provides complete support in white labeling
and re-branding
Advanced Embeddability
Users can embed components of a
dashboard into any web-based application
from the entire layout to individual
visualizations or widget
Minimal Operational Costs
Minimal IT intervention, easily handled
by non-technical end users
Extensive Security & Governance
Use role level security management to
manage groups and individuals with
integration to active directory
Unique Open Platform (Sisense API Sets)
Sisense holds many API sets that act as
entry points to extend, customize and build
solutions on top of the product/add widgets
to the Sisense platform
Sisense Feature Overview

22. section
4
Comparing Embedded Analytics Partners
Comparison Points:
Sisense Alternativesvs.
CRITERION DESCRIPTION
Standalone Does not require additional tools from third party vendors
Scalability (Data / Users) The volume of data a single server can process, number of concurrent users
Time to Market The time it takes for embedded analytics to be in production
Data Preparation The ease of adding new data sources
Customization Extensibility, API sets, white labeling, custom visualizations, plugins and CSS customizations
Agility The ease of asking new questions and receiving answers quickly to satisfy customer requests
Embeddability Ability to build components (dashboard or widget level) into web-based platforms
Security Built in multi-tenant security, SSO, role level security
Required technical expertise The technical expertise required for setup and management
Software/Hardware/Operational Costs Average costs considering different external and intrinsic factors

23. 23
Stand-Alone BI Overview:
Stand-alone BI solutions provide a number of tools to
take you from start to finish in your data analysis process:
manage, visualize and integrate data.
The problem is, they are often complex to deploy
and use slower, more costly technology.
The most common example of stand-alone solution’s
technology is in-memory processing technology.
Since in-memory processing loads the entire database
from storage to RAM for analysis purposes,
When it comes to Embedded Analytics, it is dangerous to limit the amount of
data and users, since that is essentially limiting your growth and creates a slow
and limited experience for your end users.
the reliance on RAM becomes problematic- with
companies either needing to purchase additional RAM,
which is expensive on larger scales; or alternately to
leave some of their data ‘out of the picture’ in order to
accommodate the memory limitations.
Unfortunately, datasets larger than several dozen of
gigabytes often slow down or even break these types of
stand-alone tools. The challenge is compounded with
multi-user applications, since each user requires additional
memory space for user-specific operations.
1.Stand-Alone BI Solutions

24. 24
Similarly, many of the most popular stand-alone
solutions have their own proprietary scripting language
needed for data preparation, requiring companies to
recruit or outsource dedicated technical expertise. This
also makes extensibility and agility challenging since
business users are more dependent on technical teams.
Bottom line: Though stand-alone solutions can provide
a full stack BI tool, they are often built on legacy
technology that prevents the solution from scaling
past just 100GB of data or forces companies to invest in
expensive additional hardware and human resources.
Mike van Thiel, CEO and co-founder of Known Factors
With Sisense, I felt like I could create a BI
dashboard without becoming an expert in report
development. It was obvious that this is exactly
what our customers need.

25. 25
CRITERION SISENSE STAND-ALONE BI SOLUTIONS
Standalone solution Yes Yes
Scalability (Data / Users) Terabytes Gigabytes
Time to Market Days/Weeks Months/Years
Data Preparation Yes No - Requires proprietary scripting
Customization High Moderate
Agility High Moderate
Embeddability High
Moderate - Requires users to first build
on desktop and then publish to the web
Security High Varies
Required technical expertise Low High
Software costs Moderate Moderate
Hardware costs Low Varies - Higher as data grows
Operational costs Low High

26. 26
Data Visualization Overview:
Data visualization tools are used to present data in a
variety of colorful graphics that are easier for business
users to consume than lists of numbers. While data
visualizations themselves are valuable, data visualization
tools cannot be considered a complete analytics solution
since they do not provide: data management capabilities
(data preparation / data compilation), advanced analytics,
or scalable data storage and integration features- which is
especially important for OEMs.
Ironically, some of data visualization tools today cost as
much as full-fledged analytics solutions. Many buyers are
sold on the front-end (pretty dashboards), not realizing
that the software lacks a back-end to actually get the data
in a format that can be plugged into a data visualization tool.
The easiest way to understand the limitations of data
visualization software is to request a POC (Proof of
Concept) using your own data, not sample data, to see
how accurately and quickly the tool can get your messy
data into a format that can be visualized.
Bottom line: Many problems will arise from having only
half a data analytics tool, including the most costly:
the need to invest in third-party ETL solution for data
management- as well as the extra skillset to manage it. Gareth Barry, CEO and Founder of Unleashed
Not only are we able to quickly create a
meaningful dashboards using Sisense, but we
can link up the data and drill down into any
piece of data in one click. If you can dream it,
you can do it in Sisense.
Data Visualization Tools2.

27. 27
CRITERION SISENSE DATA VISUALIZATION TOOLS
Standalone solution Yes No
Scalability (Data / Users) Terabytes Gigabytes
Time to Market Days/Weeks Months/Years
Data Preparation
Yes- Minimal IT support required to
add new data sources
No - Requires third-party software for
data management/ETL
Customization
High - Full white labeling, custom
visualizations, developer API sets
Moderate - Often no API
Agility High Low - Managing multiple tools
Embeddability High High
Security High Varies
Required technical expertise Low Low
Software costs Moderate High
Hardware costs Low Low
Operational costs Low
Varies; based on cost of additional
third-party software

28. 28
Cloud BI Solutions Overview:
Many expect that choosing a cloud platform as their OEM
solution is the best way to get a BI tool with the maximum
level of self-service. Businesses hope to experience fully-
managed Cloud BI the same way they experience other
fully cloud-based self-service applications like Salesforce
and Google Analytics.
Unfortunately, this is not the case with cloud BI solutions
that have to plug into existing data sources. Then, adding
and synchronizing data becomes a constant battle, since
BI software is best deployed to be as “close” as possible to
the data it feeds off of in order to minimize the overhead of
transferring data from sources to BI software.
Due to the challenge of synchronizing data and data
preparation overhead, Cloud BI solutions require end
users to either call the customer support or bother their
IT department every time they want to add data or alter a
field-which is a frequent occurrence in data analysis.
This is because the same process of transferring and
handling data that’s required for on-premise will also be
required for a cloud platform.
Additionally, data that is transferred over the open Internet
needs to be encrypted and then decrypted - slowing the
data management process down by an additional 60%.
The ongoing introduction of new data sets or sources quickly
becomes very resource-heavy.
Cloud BI Solutions3.

29. 29
Bottom Line: Cloud BI solutions often require countless service hours, an expensive ROI model, and a rigid data-driven
environment with little tolerance for change. Quite the opposite of the personal control Cloud BI implies with its self-
service association. If a BI solution is not self-service on-premises, it sure as won’t be self-service in the cloud, so test it on
your own data before making an investment.
Sisense Cloud Options:
Sisense believes in self-service BI regardless of whether a company deploys BI on the cloud or on-premises. If you are
truly looking for a cloud-based or fully-managed BI service, Sisense offers the option of setting up a machine on Amazon
(or other cloud services) and providing self-service dashboarding, reporting, analysis and collaboration via Sisense Web.
Companies can use Sisence’s powerful technology for easy and accurate data management, while being less
dependent on software than any other vendor using traditional 3rd party data warehousing and ETL tools.
On top of that, Sisense Web offers an extremely easy browser-based BI application.

30. 30
CRITERION SISENSE CLOUD BI SOLUTIONS
Standalone solution Yes Yes
Scalability (Data / Users) Terabytes Varies - typically GB scale
Time to Market Days/Weeks Weeks/ Months
Data Preparation Yes Varies - often require scripting
Customization High Low
Agility High Moderate
Embeddability High High
Security High Moderate - issues with synchronization
Required technical expertise Low Low
Software costs Moderate High
Hardware costs Low No direct hardware costs
Operational costs Low No direct operational costs

31. 31
Unique Technical
Benefits of Sisense
OEM Solution
section
5
In-Chip Engine™
Sisense’s In-Chip Engine™ is proprietary technology that
lets you run any ad-hoc query and receive answers on the
spot, without the need to prepare data in advance for each
new question.
The Sisense’s In-Chip Engine™ maximizes existing
computational resources, including disk storage, RAM and
CPU cache for the most efficient compression techniques,
and uses advanced and innovative querying algorithms to
bypass limitations imposed by the operating system.
Therefore, only a fraction of the data must be stored in RAM
in order to attain the same or better performance as other
BI solutions, making Sisense the fastest BI solution- even on
big and disparate datasets.
Our In-Chip technology allows Sisense to achieve a definite
edge on other BI solutions in terms of performance, even at
terabyte-scale datasets, and at much lower hardware costs.

32. An Investors Dashboard with Sisense
32
Single-Stack™ Architecture
Sisense’s Single-Stack solution describes our instantly deployed, end-to-end BI software that
includes everything you to need to prepare, analyze and visualize data of any type and size.
Our Single-Stack™ architecture takes you from data integration to visualization with a
single BI solution.
Using our Single-Stack™ solution eliminates the need to use additional tools, saving
companies the need to invest in data warehouses, visualization tools or professional
services. With no DBA required to manage the platform, no manual mashups to maintain,
and no special scripts to learn, Sisense Single-Stack™ is able to provide a complete business
intelligence platform at unmatched TCO.
Ewa Jakubowska, Data Analyst at NetBet
Sisense has saved our lives.
We were struggling to put together
information from many data sources, and
now a big report that previously took days,
takes just minutes with Sisense.

33. section
6
OEM Customer Stories

34. 34
Entertainment
EEG Events Group (EEG), a world-class global event management service, was juggling multiple data sources
from hundreds of clients and their events, but lacked a reporting tool that could consolidated the data into one
report to send to their customers.
After choosing Sisense from over 16 other BI tools, EEG confirmed that Sisense is the best Business Intelligence
solution to: analyze complex data, embed and brand dashboards and reports, scale to any amount of users, and
implement quickly- requiring no training or coding
Our job is to provide tools to our clients that help them
go home happy after an event, and we can do that with
Sisense's OEM capabilities. Sisense isn't just about business,
but it's a tool that helps me make my customers happier.
Adam Clark, Product Manage at EEG Events

35. 35
Consumer Goods
Equipment Data Associates (EDA) collects and analyzes industry data to extract market insights for their
customers in industries that require financing heavy capital purchases such a construction, machine tools,
and agriculture (e.g. John Deere or Caterpillar equipment). Now, EDA uses Sisense as an integral part of its
growth strategy:
The ROI is really impressive and the response from our clients is great.
We're getting amazing feedback from clients who say they love the data
analysis and reports. Now our clients are requesting a custom interface
and we're building that with the tools provided by Sisense...
We couldn't have delivered to the market so fast and we couldn't have
gotten such performance out of it without Sisense.
READ CASE STUDY >>
Sonny Rivera, VP of Information Technology at EDA

36. 36
Computer Software & Technology
READ CASE STUDY >>
Mike van Thiel, the CEO and co-founder of Known Factors
Known Factors provides Business Intelligence services for a variety of industries including real estate, travel, automotive,
ecommerce, healthcare and political campaigns. Today, many of Known Factor’s customers need help managing their data
which is often too complex, large or too widely distributed to manage internally.
Therefore, Known Factors became an OEM customer of Sisense and uses Sisense embedded analytics to enable their clients
to build dashboards easily and independently without investing in extra staff or expensive internal projects. This allows Known
Factor’s customers to deliver the same competitive advantages provided by BI tools used by large corporations.
Sisense is as easy as dragging and dropping in Excel,
except you get interactive, powerful reports.
The capabilities of the Sisense report builder are just so
powerful and slick. The kicker? Sisense is completely
extensible which is perfect for white labeling.

37. 37
Manufacturing Industry
Lacking a quick, reliable forecasting and demand planning, James Davison, Senior Data Analyst at Celestica, the multinational
contract electronics manufacturing services that supplies a variety of leading OEMS and handles $500-600 billion dollars of
goods, decided the company needed BI software.
Sisense provided Celestica with an easy way for everyone in the company to produce quality data analytics with no training,
as well as a white labeled embedded analytics service for their clients. After being deployed in just days, Sisense was adopted
virally across the company, empowering everyone with the ability to build compelling dashboards. The company’s quick
adoption of Sisense has already saved weeks of time on every report
Sisense is being eagerly embraced. In fact, it's
going viral. Our demand analyzer is now built into
Sisense and is deployed around the globe, running
over 200 users. It performs so quickly, it's getting
used as an enterprise scale application.
READ CASE STUDY >>
James Davison, Senior Data Analyst at Celestica

38. 38
Qualifa is an award winning, and innovative B2B telemarketing lead generation company solely focused on the
technology sector. Qualifa runs exciting international campaigns for media clients, building business development
pipelines with high quality targeted qualified marketing-ready-leads.
When Quentin Villon, the top Business Analyst at Qualifa used the free trial Sisense, he was able to install and
configure it and produce useful dashboards on top of what was a very complex data model, all within hours.
Since Sisense was integrated at Qualifa, there's been a 43%
increase in productivity in which Sisense played a significant role.
I am saving approximately 50 hours per month on standard tasks
while others in the company are now also saving significant time
with all their reports being created automatically.
Quentin Villon, Business Analyst at Qualifa
READ CASE STUDY >>
Marketing & Sales

39. 39
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OEM Case Studies
We see our OEM customers as partners and provide
dedicated support, training and maintenance as it’s needed,
when it’s needed. That’s why leading companies all over
the world have chosen Sisense as their embedded BI tool.
Read Case Studies