When Big Data meets Cloud

Cloud BI – the modern approach

The CEO of one of worlds biggest IT giant Microsoft, Satya Nadella made it very clear in his first public comments that the future lies in the cloud.

“Our job is to ensure Microsoft will thrive in a mobile and cloud-first world”

This statement, from Nadella’s letter to the company, is interesting not only because of what it includes but also what it excludes. Windows and Office weren’t mentioned in his letter, while cloud services received plenty of attention.

At Ideata we share the same sentiments and foresee that providing data analytics as a service will provide unprecedented opportunities and allow our users to do more with their data.

Cloud computing has enabled many businesses to crunch the big data needed to draw big conclusions.Traditional BI vendors got too comfortable with their six-digit contracts and forgot to innovate, experts .

Gartner defines the six key elements of analytics as

  • data sources
  • data models
  • processing applications
  • computing power
  • analytic models
  • sharing or storage of results.

We provide combination of above elements as a hosted cloud platform on which you can perform all types of information discovery – reports, dashboards, ad-hoc analysis, predictive analytics and mobile.

The various advantages which big data analytics when combined with the power of cloud brings alongs are:

A global, decentralized enterprise can draw enough intelligence from all of its brands to make informed decisions through Cloud BI .A growing midmarket, concerned that it doesn’t have the money for an on-premises BI package that costs several hundred thousand dollars, do likewise and dervie value in SaaS BI solutions at all stages of the economic cycle – whether bull or bear.

BI on-demand will continue to be popular in niche cases, such as with   



Special issues to consider:

The analysis tools may not have all the features that on-premise software products do – which may make them less complex and easy to use, but also less functional.

Some challenges which cloud BI deployment poses :

  • Sending corporate data beyond the firewall may raises red flags for some organisations
  • Orchestrating a sudden movement of data to the cloud
  • A crowded vendor marketplace that makes choice difficult
  • Data warehouse size and performance limitations
  • A lack of standard pricing models.

Apart from that there might be some technical challenges involved in securing data in transit

  • Gain access to the data where it resides
  • Transform it to a format suitable for reporting
  • Synch it with the source system/location on a regular basis so that it stays up to date
  • Creating meaningful output, with aggregations, metrics, measures, and all of the things business people like to look at.

Ideata SAAS BI:

To try to assuage those concerns, we can create private analytic clouds that run inside a customer’s firewall. We have a solid DR plan, which is frequently tested. A failover DR site is always created , and its location is flexible: It could be at the vendor’s site, the site of a third-party supplier or the customer’s own site.we also negotiate a service-level agreement that includes economic incentives for the provider to stay up 99.9% of the time.

Our Cloud architecture allows end users to use an instance of Ideata Server through a remote connection, provided by Ideata team in a short time, against the payment of a monthly fee. At this point, users will be allowed to access our instance, to tailor it to their needs, to upload their data and to deploy their analysis.

It doesn’t matter how big or how small your organisation is .You can be data driven through Ideata for Cloud.