wpid-thumbnail-d1ce3b9518417ddc057d2bc18a2ab41a

Evaluating business intelligence in the cloud

Evaluating business intelligence in the cloud

By working on consulting projects related to cloud BI implementations, I have seen firsthand some organizations that are too willing to adopt solutions and leverage cloud based on brand awareness or what their friends and former colleagues at other companies are adopting, and not on a detailed evaluation of their business and technical needs.

Organizations need to not only look at what their business issues are now, but also what they hope to achieve in the longer term to ensure the solution they choose provides the viability and extensibility they require to change and grow with their needs. This requires looking beyond brand or general requirements and towards strategic data driven BI initiatives.

Here are they key considerations to consider before implementing your own cloud BI plans:

Selecting cloud for the sake of cloud is not a valid strategy. Organizations require the identification of their end goal and evaluate 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.

Read Also:
The Role Of Business Intelligence In Social Media Marketing

Organizations should identify whether acquiring new or additional hardware and paying for support and licensing long-term is more beneficial than paying a subscription fee and turning BI consumption into an operational expense. Capex projects will cost more initially, but their maintenance may be lower, while opex expenditures in the cloud may cost less to implement but can be more expensive depending on the scope and expansion of the project.

Where does data currently reside?

For organizations already leveraging data in the cloud, a cloud BI solution may be a natural transition. For instance, any companies leveraging cloud-based operational solutions choose to expand their use to include analytics. Other organizations may have to integrate data from on-premises solutions, which may require other different efforts of data integration.;

 



Chief Analytics Officer Europe

25
Apr
2017
Chief Analytics Officer Europe

15% off with code 7WDCAO17

Read Also:
Thoughts on IoT and Finance
Read Also:
Predictive Analytics: Why They Make Your Content More Impactful

Chief Analytics Officer Spring 2017

2
May
2017
Chief Analytics Officer Spring 2017

15% off with code MP15

Read Also:
Predictive Analytics: Why They Make Your Content More Impactful

Big Data and Analytics for Healthcare Philadelphia

17
May
2017
Big Data and Analytics for Healthcare Philadelphia

$200 off with code DATA200

Read Also:
Thoughts on IoT and Finance

SMX London

23
May
2017
SMX London

10% off with code 7WDATASMX

Read Also:
This neural network ‘hallucinates’ the right colors into black and white pictures

Data Science Congress 2017

5
Jun
2017
Data Science Congress 2017

20% off with code 7wdata_DSC2017

Read Also:
Why Data Is Important for Companies and Why Innovation Is On the Way

Leave a Reply

Your email address will not be published. Required fields are marked *