Cloud BI Solutions For Enterprises

BUSINESS INTELLIGENCE

Understanding

Cloud

Business Intelligence

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...

KEY INSIGHTS - Statistics speaks...

48% of enterprises are

adopting data

integration between on-

premise and cloud

applications.

Key Considerations Before

Implementing Your Own Cloud BI

Plans

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.

Focuses on reducing costs

Improves customer

responsiveness

Streamlines processes

WHY CLOUD BI?

BENEFITS OF

CLOUD BI

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

Have To Say About

Cloud BI?

What Large Corporations

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/

Mail us at: sales@algoworks.com

Contact us at: +1-877-284-1028

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