Business Intelligence Tool Attributes to Effectively Drill into Big Data
An ardent business
person is far-sighted, observes and understands the business
structure, predicts future trends and takes decisions based on that. This was
the common scenario a few years back, this was achieved simply by keeping one’s
eyes and ears open.
However, the scenario has
drastically changed lately. With the information
explosion, big data took a
different shape and it became almost impossible to understand the real-life
business scenario by only keeping one’s eyes and ears open. Thus, the inception
of BI and big-data tools took place.
Today, BI tools have taken
the centre stage and are that crucial to businesses It
consulting
what the brain is to the body, that is why selecting the right tool is way too
important than we usually think.
On a practical prospect,
integrating advanced analytics for big data with BI systems is crucial for
gaining the full return on investment. Also, advanced analytics amalgamated with BI
has already proven its mettle at the different organizational levels by providing a deeper, exploratory perspective on the data, and at the same time, BI systems
provide a more structured user experience.
Today, BI systems’
richness in dashboard visualization, reporting, and performance management metrics
has proven itself to be a vital factor for building actionable advanced
analytics.
As we know, Business
Intelligence is to help business users to gather insights from the available
data. So, a good BI tool doesn’t dump data, it guides the user through
subsequent steps.
So,
let's have a look at some of the BI attributes, based on which a business user
can decide if any given BI tool is worth relying on or not.
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Visual
Conceptualization
This
is the most crucial attribute any BI tool must have. Visual data representation
is one such way which can create wonders by increasing efficiency and reducing
IT dependency.
Today’s
BI tools are mostly infographics-based. This helps the business users to avoid
data chaos in a visually appealing way. This also provides relief from
confusing excel sheets and charts, making it easier to take swift decisions.
Relevant
Tool: Qlik
Drill–down Data
Drilling
down data refers to diving deep into the pool of data to recover relevant
information which would be segregated according to the desired location, origin
source and other factors.
With
the increasing pressure of real-time decision-making, it has emerged to be
an important feature. It not only saves precious time which is often poured
over spreadsheets but also allows to get down to the nitty-gritty by drilling
down and narrowing the search in just a click.
Relevant
Tools: Datameer, Pentaho
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Suggestive
Aptitude
A
good BI tool that applies its data knowledge to suggest the way
forward. Also, a smarter suggestive intelligence is used to explore patterns
and suggest solutions based on existing data.
For
instance, if ‘x’ company is wondering why their sales figure looked dismal in any of the months, then suggestive aptitude of an effective BI tool can
help. It is because it can find relevant people amongst thousands of employees
who can solve this dilemma.
Relevant
Tool: IBM Cognos Intelligence
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Righteous
Collaboration
In
almost every organization there’s a goose chase for the right person when some
vital problem arises and that needs to be solved at the earliest. In this
scenario, BI tools with righteous collaboration can help in finding the right
people who can come up with the desired solution in no time, without holding
endless meetings.
BI
tools enable you to find the right people who can give you answers quickly
without sending you on a goose chase or holding endless conferences and
meetings with your teams. For instance, you share the infographic which shows
the dismal sales in Tokyo to suggested marketing and salespeople. These people hold the answers to your question and instantly solve your query.
Furthermore,
if a team member wants to analyze data, view the progress dashboards, or share and
discuss data, a good BI tool should provide seamless collaboration features to
facilitate decision-making.
In the end, this would ensure that all the team members are on the same page and
can fruitfully reap maximum qualitative or quantitative insights.
Relevant
Tools: IBM Cognos Intelligence, Tableau
Predictive
Intelligence
Business
processes are always dynamic – ever-changing and unpredictable. So, always
resorting to the inner voice is not enough. It needs precession, even a small
mistake can create blunders, therefore predictive intelligence is an important
feature for any BI tool.
So,
one must ponder which tool is right?
Almost
all BI tools possess one or more attributes that have been discussed above. But
there are some tools which have proven their mettle for a long. So, let’s have
a look at the best five!
Relevant
Tool: Tableau
Tableau
Tableau
is widely used worldwide due to its user-friendly features and
integrations. It is also one of the leading BI tools which are used for Big Data
and Hadoop. Adding another point to its feature list, it provides connectivity
to various Hadoop tools for various data sources like Hive, Cloudera and
HortonWorks.
Not
only with Hadoop but also Tableau has an option to connect its data source
from over 50 different sources including SAP and AWS.
As
a visualization tool, Tableau provides a top-notch user experience with its
highly advanced features like bar graphs, pie charts, heat maps many other
features.
Datameer
Another
BI tool which is popular for its Big Data and Hadoop integration is
‘Datameer.’Also, it not only supports Hadoop but also many other data sources
like Excel, SQL, MySQL and other tools and frameworks.
Datameer’s
self-service analytics helps users perform all the required steps by
themselves. Carrying out vital processes like Integration, preparation, analysis,
visualization and operationalization can be done with ease.
Pentaho
Pentaho
is another out-of-the-box tool which is highly dependable, as it is the brainchild of Hitachi group companies. It is an analysis platform for Big Data and
Hadoop which provides big data tools to extract, formulate and blend user’s
data.
Pentaho’s
speciality is its top-class visualizations and analytics. From Hadoop and Spark
to NoSQL, Pentaho allows its users to turn their big data into big insights,
and in turn, change the way they run their businesses.
So,
if any user uses a data source like Hadoop, then Pentaho provides an option to
perform data integration, visualization, and reporting all at the same time.
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Click
Qlik
is not just another BI tool that works on Hadoop and Big Data domain. It is
different from the rest because of its ability to integrate with social media
platforms like Facebook, which we won’t find with most of the BI tools.
Also,
Qlik allows its users to connect with various data sources like SAS, SAP, SOL,
Hadoop, SQL etc. for analysis and reporting.
IBM
Cognos Intelligence
In
any form of business; information silos, excessive dependence on spreadsheets,
managing multiple platforms, and handling data overflow are some of the common
hindrances that business owners face.
But,
with business analytics software from IBM, the process of analyzing business
data to understand the performance and recommending improvements have been
taken to a new level.
IBM
Cognos Intelligence allows its users to explore their business data from
different angles and perspectives and compare it with emerging trends for a
more extensive view of their businesses. So, the facts needed for better
results are always right at the fingertips of its users.
However,
there might be one tool which is good for drilling down data, but it may not be
that good at visual representation. Another tool might solve most of the
business pain points, but its predictive intelligence may need improvement.
So,
one needs to select the right BI tool based on the most important aspects to satisfy their business needs. If it solves one’s business needs
and provides the right features, it is the right BI tool for that organization.
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development company - Afourtech
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