The 10 Best Data Analytics And BI Platforms And Tools In 2020

The 10 Best Data Analytics
And BI Platforms And
Tools In 2020

© 2019 Bernard Marr, Bernard Marr & Co. All rights reserved
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As we start a new decade, the top trends for business analytics platforms are cloud,
artificial intelligence, automation, on-device (edge) analytics,
and augmentation.
Cloud ecosystems empowered with AI have matured greatly in recent years. Smart,
augmented prediction and decision-making tools are at a stage where they are ready to
be deployed across organizations, from the boardroom to the shop floor. The challenge
is making sure your business is ready to use them.
The 10 Best Data Analytics And BI Platforms And
Tools In 2020

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Though cloud will continue to encroach on all areas of business computing – including
analytics – the ability of platforms to integrate edge applications into their ecosystem is
also increasing. This means that greater volumes and variety of data can be stored and
analyzed locally, with no need for it to be sent backwards and forwards between the
user and the cloud, for increased efficiency. In some cases, this is helping to alleviate
security and privacy
concerns, too.
Tools In 2020

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This means the biggest barriers to benefiting from advanced analytics are certainly now
organizational rather than technological. The barriers to entry are falling constantly, but
not every business is yet ready to dive in head-first. However, the unique business
challenges brought about by this year’s unprecedented global events mean that
leveraging data-driven efficiency and growth strategies is more important than ever.
Tools In 2020

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So, here's an overview of the best and most popular analytics and business intelligence
platforms at this time. They range from free, open-source solutions to fully serviced
commercial packages – although most offer a free trial to give you
a flavor.
Tools In 2020

Microsoft Power BI
Power BI is an end-to-end analytics solution that has the huge advantage of being
immediately familiar to most information workers, due to the way it slots into the Office
365 ecosystem. However, it only comes as standard with enterprise licenses. Power BI has
been around for nearly ten years now and has become the analytics workhorse of choice
for thousands of organizations, but its most recent editions have placed it firmly at the
head of the pack thanks to comprehensive and constantly evolving automation and
augmentation capabilities.

Oracle Analytics Cloud
Oracle – the original king of the hill when it comes to databases – has in recent years
revamped and relaunched its product and service offerings to fit with the cloud-and-AI
era. Its natural language capabilities are among the most sophisticated in the field,
accepting queries in more than 28 languages – more than any other platform.
Oracle is also pushing hard on the concept of an autonomous database. This means using
machine learning algorithms to carry out many of the functions that would previously
have required organizations to employ an expensive human database administrator to
carry out. This includes data management, security updates, and performance tuning.

IBM Cognos Analytics
Cognos puts AI at the forefront of IBM’s own end-to-end analytics solution, enabling users
to ask and receive answers to their queries in natural language. This means that rather
than simply giving you graphs and charts to look at, it can explain what each one means,
and point you towards the insights it thinks you should be getting. It also uses a high level
of automation for its data cleansing and preparation functions, meaning the AI will
automatically spot and clean up bad data, remove duplicate information, or highlight
areas where something is missing. As with Microsoft's solution, it can be run entirely in the
cloud or installed locally on-premises, depending on your needs and the requirements of
the data you’re working with.

ThoughtSpot
ThoughtSpot is another comprehensive analytics suite that lets you query datasets in
natural language and emphasizes a friendly, pick-up-and-play approach to analytics. It
incorporates UI features that will be familiar to anyone who is used to social media – such
as autonomously curated feeds providing real-time insights into what is going on with
your data. This was a great move as social networks have evolved to become extremely
efficient at generating user engagement, and adapting their innovation to fit an analytics
platform has proven to be a winning formula. Its AI-powered assistant, SpotIQ, uses
machine learning to understand what a user is thinking and make suggestions, pointing
out insights that may have been overlooked or suggesting alternative methods.

Qlik
Qlik is another key player that has made confident moves into machine learning-driven
automation, most apparent in its Associative Engine that lets users see connections
between important datapoints before they make a single query. Another advantage is that
Qlik’s Data Literacy Project initiative is baked into the platform, which aims to ease the
pain of introducing analytics tools across traditionally non-technical or non-data-savvy
workforces.

Apache Spark
Spark is a mature open-source platform that has been around for six years and has
become incredibly popular during that time. That means there is a rich ecosystem of
extensions and plugins, making it up to just about any enterprise analytics task, such as its
MLib machine learning library. It also has a huge community of users and vendors offering
support and assistance, so its applications are adaptable to workforces of differing levels
of IT skill, and as you would expect it integrates easily with other Apache projects such as
Hadoop

Sisense
Sisense is another solution that has grown in popularity and developed a reputation as a
market leader. It excels at allowing users to create collaborative working environments
where they can slice, dice, and analyze data as a team, using its Crowd Accelerated BI
features. Data can be lifted in from just about any source due to its "API-first" ethos, and
its powerful but user-friendly web browser interface simplifies the process of getting
started.

Talend
Talend is another very popular platform that has increased its automation capabilities in
line with current trends towards machine learning and smart computing. It carries out
automated data quality and compliance operations in the background to provide its users
with faster access to better quality insights. It is also open source, meaning there’s a
strong community of users to learn from and work with, and it’s simple to find example
tools and templates for just about any job you might need to do.

Salesforce Einstein Analytics
Gartner’s analysts this year rank Salesforce’s Einstein engine as having the strongest
capabilities when it comes to automated analytics. There are questions about how the
company will integrate Tableau's technology, which it acquired last year, with its existing
and hugely popular cloud analytics tools. Salesforce practically invented data-driven
marketing, and its customer relationship management (CRM) tools have been industry-
standard for years. Today, it is continuing to live up to its reputation as a leader of
innovation, enabling a level of automation that competitors are struggling to match.

SAS Viya
SAS continues to offer one of the world's most popular BI platforms. Trusted by thousands
of companies worldwide, SAS has built out its visualization capabilities with the release of
the Visual Analytics component and worked to enhance its automation capabilities. It's
designed to let users keep their entire analytics workflow on one unified platform.

© 2017 Bernard Marr , Bernard Marr & Co. All rights reserved
Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a
strategic business & technology advisor to governments and companies. He helps
organisations improve their business performance, use data more intelligently, and
understand the implications of new technologies such as artificial intelligence, big data,
blockchains, and the Internet of Things.
LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent
contributor to the World Economic Forum and writes a regular column for Forbes. Every day
Bernard actively engages his 1.5 million social media followers and shares content that
reaches millions of readers.
Visit The
Website
© 2017 Bernard Marr , Bernard Marr & Co. All rights reserved
Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a
strategic business & technology advisor to governments and companies. He helps
organisations improve their business performance, use data more intelligently, and
understand the implications of new technologies such as artificial intelligence, big data,
blockchains, and the Internet of Things.
LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent
contributor to the World Economic Forum and writes a regular column for Forbes. Every day
Bernard actively engages his 1.5 million social media followers and shares content that
reaches millions of readers.
Visit The
Website

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The 10 Best Data Analytics And BI Platforms And Tools In 2020

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