We highlight Top 5 Business Intelligence Tools as suggested by Gartner and ask critical questions that can help organizations make better and informed decisions.

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ANALYTICS
HOW TO CHOOSE THE RIGHT MODERN BI AND
ANALYTICS TOOL FOR YOUR BUSINESS?
We highlight Top 5 Business Intelligence Tools as suggested by Gartner and ask critical questions
that can help organizations make better and informed decisions.
As per a recent study by Gartner entitled “The Future of Decisions”, 53% of respondents agree that
there is a higher expectation for them to justify or explain their decision. Further, 65% of
respondents agree that making decisions has become more complex now, compared to 2 years
ago. It can thus, be concluded that organizations are becoming increasingly data-centric, which in
turn is driving increasing demand for modern Business Intelligence and Data Analytics (BI)
platforms.
Data generation and consumption patterns have transformed over the past few years. Analytics &
Business Intelligence is evolving rapidly from simply “What happened” viewpoint to “Why it
happened” and “What must I do in future” endpoints. It’s no longer enough to churn out reports
and publish them to users in the hope that users will be able to find answers in those reports.
Traditional BI architectures do not lend themselves seamlessly to modern data generation,
consumption, and publishing requirements. Hence, the need for advanced Analytics and BI
platforms and tools.
Top 5 Business Intelligence Tools (Best BI Tools in
Top 5 Business Intelligence Tools (Best BI Tools in …
…

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Analytics & BI Platform Definition
Analytics and Business Intelligence platforms allow people with minimal technical knowledge –
including businesspeople, to analyze, model, share, explore, manage data, and collaborate
findings.
Analytics & BI platforms can optionally include the capability of creating, modifying, and enriching
a semantic model – featuring business rules. In the modern era, enterprise BI platforms put
greater focus on visual-based self-service for end consumers – augmented by Artificial
Intelligence to offer automated insights. If you are a business looking for seamless data analytics
and actionable insights to make progressive and informed decisions, this is for you. Let’s check
out the myriad benefits of BI that can propel your business to new heights.
Top Critical Analytics & BI Capabilities
1. Security – To enable security, authentication, auditing of platforms, and administration of
users.
2. Governance – For tracking usage and managing the creation of information -right from
prototype to production.
3. Cloud-enabled Analytics – Building, deploying, and managing analytics in the cloud -
depending on data on-premises and the cloud.
4. Data Source Connectivity – Allowing users to connect while leveraging data in different
storage platforms.
5. Data Preparation – Delivering support for a user-centric, drag-and-drop combination of data
from multiple sources along with the creation of analytical models.
6. Data Catalog – Displaying content to make it simpler to observe and consume.
7. Automated Insights -Ability to make use of ML or Machine Learning techniques towards
automatically generating insights for end users.
8. Data Visualization – Supporting highly interactive dashboards along with exploring data
through understanding chart images.
9. Natural Language Query – Allowing users to query data with terms either spoken or typed in
the search box.
10. Data Storytelling – Generating new styles of data stories depending on the ongoing
monitoring of observations.
11. Natural Language Generation – Automatic creation of descriptions that are linguistically rich
and found in data.
12. Reporting – Offering pixel-perfect, paginated, and parameterized reports that can be
scheduled.
These capabilities have become prominent themes for better business decisions and consequent
Roi. Hence, research results on enterprise BI and analytics software is a much-anticipated event.
And what better way than to check out Gartner’s magic quadrant for Analytics and Business
Intelligence Platforms, 2022!

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2022 Gartner Magic Quadrant for Analytics & BI Platforms
We know the 4 standard quadrants of Gartner are – Leaders, Challengers, Visionaries, and Niche
Players. Let’s look at the leading vendors in each category for Analytics & BI platforms.
1. Leaders
Microsoft Power BI
Salesforce
Qlik
2. Challengers
Google Looker
Domo
3. Visionaries
ThoughtSpot
SAP Analytics Cloud
Oracle Analytics Cloud
Sisense
4. Niche Players
Amazon Web Services
MicroStrategy
Alibaba Cloud
To know more about these leading players in the Analytics for Business Intelligence tech space,
check out this video
Selecting the right BI and Analytics Tool utilizing industry best
practices
Effective decision-making in today’s business needs to be collaborative, connected, contextual
and continuous to drive effective business outcomes. Thus, choosing the right BI analytics
platform is the first step toward doing so.
Choosing the most relevant and customized Analytics & BI platform is a difficult task, however, the
following points can help you make the right decision that fulfills all your requirements.
1. Define your requirements for the right Analytics & BI tool
2. Run a Business Intelligence applications review – If you are an existing BI platform user, it is
very important to take a complete inventory of your BI & Analytics landscape along with

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complete use cases. You must map interdependencies, data volume, databases, costs,
licenses, technology vendors, other critical IT systems’ compliance requirements, etc. in your
current analytics framework to facilitate the identification of specific requirements from your
new analytics & BI tool.
3. Focus on data and analytics strategy – Whether you are an existing BI tool user or a beginner,
a clear Data and Analytics strategy can help you in choosing the right BI tool. Your strategy
must lead you to the right answer to questions such as-
Self-Service vs dedicated resources for analytics
Enterprise cloud stack
On-premises or SaaS solutions
In-memory or traditional databases
Focus on descriptive/predictive/prescriptive analytics
Specialized tools or all-in-one, etc.
In addition to the above questions, you must also include your Data Fabric and Data
Catalogue initiatives in the data and analytics strategy document
4. User community – Your existing user community will be an important stakeholder when
deciding on the next Analytics and BI tool. Following inputs can be crucial in your choice of
the next Analytics & BI tool
The number of users
End-use cases
Required support
Existing technology competence
Training requirements
Willingness to adapt to different technology, etc.
5. License negotiations – As tools have evolved, licenses have become more complex. If you
are on S/4 HANA, then you may like to check if you got SAP Cloud Analytics licenses bundled
with your S/4 HANA licenses. If you have more than 500 end users, then tools such as
PowerBI provide licenses at fixed fees for unlimited users which can offer significant savings.
Your license procurement team is an important ally to create the right strategy and define
requirements to determine which licenses are best suited for your requirements
It is tricky to choose the right tool that fits your specific organizational requirements. Companies
must remember that the CIO or IT team is not solely responsible for choosing the right Analytics &
BI tool. A cross-functional team comprising technology teams, core end-user team, procurement,
and top management are the perfect stakeholders to define the right strategy and lay down a
complete tool evaluation methodology.

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Future of Analytics & BI Platforms
The future of Analytics & BI or Business Intelligence automation platforms can be analyzed on the
following grounds:
The efficiency of reporting, visualization, self-service, connectivity, data preparation, and
automated insights capabilities
Data integration tools and connectivity amongst different systems
Requirement of extra licenses to migrate data out of ERP or DWH systems
Willingness to use different tools for reporting, planning, and augmented analytics software
Frequency of loads and data volume
Requirement of big data for analytical consumption
Governance, security, and administration of the selected platform
Conclusion
Business success has always depended on critical business decisions. The difference today is,
that there are enormous amounts of data generated that may be structured, non-structured, and
so on. To arrive at a plausible decision implies accounting for all the data generated, which is an
incredibly difficult thing to do.
Hence, to say that the building blocks of success of a company are the efficient use of analytics
and business intelligence tools, would not be wrong. What must be grasped is that every business
may have unique analytics requirements, and, hence, there is no one-size-fits-all platform.
Companies requiring Analytics & BI tooling or solutions must invest in the best and well-suited
platform while also consulting with the internal Analytics & BI teams.
There are several competitors in the market. To select the right platform, alongside checking out
the list of considerations mentioned above, you must compare the most popular players in the
market. Check out this video,to find a comprehensive comparison of the top Analytics and BI
players and platfo
Need Support?
Over the past 17 years, Techwave Analytics Services provides advisory services to help you define
your unique data & analytics roadmap. As a competent system integrator, we also provide strong
implementation and managed services experience with modern BI tools such as PowerBI, Qlik,
Tableau, etc.

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