cloud business intelligence solutions for enterprises
TRANSCRIPT
Cloud BI refers to cloud-based tools
which change raw data into
information. This information can be
used by businesses to help cut costs,
increase revenue, streamline
inefficiencies and formulate better
organizational decisions.
As a business intelligence solution,
cloud-based BI offers many
advantages over on-premises based
BI. Cloud BI can be accessed easily, is
less expensive, highly scalable and
relieves users from many
administrative tasks associated with
data management.
Cloud BI performs any BI functions:
Data Visualization, Process Mining, Data
Mining, Text Mining, Online Analytical
Processing (OLAP), Querying, Business
Performance Management,
Benchmarking, Statistical Analysis,
Forecasting, Reporting, etc.
KEY INSIGHTS - Statistics speaks...
From 2013 to 2016,
Cloud BI adoption increased
from 29% to 43%.
In the next
12 months
the use of
cloud for
BI will
increase
to 78%.
KEY INSIGHTS - Statistics speaks...
Public Cloud is among the most preferred
deployment platform for cloud BI and analytics.
PUBLIC CLOUD
HYBRID CLOUDPRIVATE CLOUD
KEY INSIGHTS - Statistics speaks...
48% of enterprises are
adopting data
integration between on-
premise and cloud
applications.
1. Why Cloud?
Companies should check their requirements, identify their end goals and
evaluate what is the best fit for their organization.
With cloud becoming more widely adopted in the market in general,
capabilities are more robust and can be comparable to on-premises
analytics solutions.
2. Where Does Data Currently Reside?
For organizations that already have their data in the cloud, shifting to a cloud
BI solution is a natural transition.
For example, companies using cloud-based operational solutions could
choose to expand their use to include analytics. Others have to
integrate data from on-premises solutions, a lot more effort.
3. Choosing Public Or Private Cloud?
IT departments may have a preference of how to deploy cloud. It can be
done by a third party or by enabling cloud access but having the
platform solutions managed internally.
Though both options are secure, some organizations have sensitive data
and therefore prefer private cloud options.
4. Privacy And Security Considerations
When looking at cloud-based BI, industry specific risk and security
regulations puts added pressure on organizations to comply with
requirements and therefore requires extra consideration.
There are many cloud service providers who develop their platforms with the
ability to support privacy and security parameters.
5. Choosing Between Capex And Opex
Organizations need to identify whether to acquire new or additional
hardware. Investing in Capex projects will cost a little more initially but
maintenance will be on the lower side.
Opex expenditures on cloud may cost you less to implement but it may
prove expensive depending on the scope and expansion of the
project.
6. How Will Data Be Integrated?
This is an extension of the conversation surrounding data
governance. Data has to be sourced and stored somewhereand therefore identifying these requirements and complexities need
to be dealt with beforehand.
7. What Types Of Services Are Required?
Organizations should identify the capabilities required for success,
namely, identifying analytics requirements. In terms of cloud
environment, this means evaluating the level of managed services
required vs. doing it yourself.
Advanced Mobility
Cloud BI allows you to stay connected to real-time data
for streamlined communications, decision making, and collaboration.
Mobile users can access customer records, project requirements, and much
more from any mobile device.
With robust and scalable data analytics tuned, businesses
are rapidly leveraging reporting tools in order to
improve sales and marketing activities.
This helps in increasing collab campaigns between sales and marketing teams,
resulting in better sales forecasting, resource
allocation, etc.
Lower Costs, Higher Performance
Cloud BI solutions allow better business insights on
sales performance, success/failure of marketing
campaigns, customer behavior.
It also simplifies data interpretation.
Easy Data Interpretation
Scalability and multi-tenancy features of a Cloud
BI solution automates everything from data
discovery to data reporting.
Cloud BI solutions can be easily modified to enhance
reports, streamline processes, update
dashboards and analyze data on demand.
Agile, Adaptable Platforms
Cloud BI solutions offer a wide range of
data security protocols and
features.
Cloud BI offers strategic data
security management.
Data Security
Take 1
Gartner says, cloud analytics is
any analytics effort in which
one or more elements are
implemented in the cloud, be it
public or private. And these
elements are data models, data
sources, etc.
According to Gassman the
problem arises when an
organization decides to
pursue cloud analytics but
different divisions and
departments define them
differently.
Take 1
Famous SaaS BI vendor like
GoodData refers to
themselves as cloud analytics
vendors as does Coremetrics
(IBM), a social networking
analytics company.
Then there are data warehouse
vendors like Teradata and
Kognito which are also referred
to as cloud analytics companies
and offer their analytic database
in the cloud or in a hosted
environment.
Take 1
The problems come when people go
down this road but fail to
understand the scope. This results
in customers not always
understanding what they are
getting.
???
Therefore, while significant
opportunities for creating business
value using cloud analytics exists,
enterprises have to truly understand
what the term means. Only after
complete understanding should they
pick a combination of six analytic
elements deployed in the cloud that
best meets their needs.
Take 1: Solution
Organizations have to ponder
if a cloud BI and analytics
strategy is the right choice for
their organization. This may
depend on whether their data
is already on cloud or on-
premises.
Whether organizations look
to the cloud for data
warehousing, analytics or
business intelligence it
completely depends on
where their data can be
found.
Take 2
If they are using on-premise
systems to handle the
workloads being thrown at
them, shifting data into
cloud-BI system probably
isn’t a good idea.
Making unnecessary
expenditures on a relocation
process seems impractical if
there is no real need. But if
most of your data is already
processed in the cloud, why
not give it a try?
Take 2
Large companies like Netflix are
among cloud BI adopters. It runs all
of its data analytics applications in
AWS cloud along with most of other
systems. Hurt Brown, director of
Netflix’s data platform, said the
online streaming media company can
have multiple Hadoop clusters
sharing the same data in the AWS
cloud.
Take 2: Solution
So, whatever combination of cloud analytics your
company chooses, make sure you agree beforehand on
the definition of the term, it’s essential. Cloud analytics
is not a uniform product or technology category.
Therefore to gain any business advantage from it,
enterprises must clearly define what they need from the
cloud and what the term means to them.
CONCLUSION
Official Blog Link - http://www.algoworks.com/blog/cloud-business-intelligence-solutions-for-enterprises/
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