Business Intelligence software is changing rapidly as cloud computing offers greater flexibility. An industry observer reports:
The four CIOs sitting on the stage of the Microsoft Global High Tech Summit 2010 in Santa Clara earlier this month were all early adopters of various technologies, and had the scars to prove it. One noted that providing cloud-based access for an enterprise data warehouse was his biggest pain point these days.
Others on the panel said they were using cloud-based applications to provide broad access to enterprise data and analytics at low cost and without a lot of systems development. Indeed, a text messaging poll during the first keynote presentation found that 56% of the responding members of the audience said the primary benefit of cloud services was the lower cost of ownership, while 27% voted for the ability to extend access to corporate data to nontraditional workers.
The pioneers on the panel and elsewhere say the software-as-a-service (SaaS) aspect of cloud computing is rapidly creating a new wave of Business Intelligence software benefits and challenges. They cite the ability to quickly empower a large number of staff with information and insights about customers, products and internal operations at low cost as particularly compelling in the era of “new normal.”
“While there might be limitations to the amount of customization and analytics that some companies want, you can start doing things with relative ease and speed,” notes Howard Dresner, principal of Dresner Advisory Services and the former Gartner analyst who coined the phrase Business Intelligence.
With a SaaS approach to Business Intelligence, “You can have a basic BI application running in a day. Compare that to the six or more months required to develop and deploy on-premise solutions. Organizations can’t sustain long cycles anymore,” he says.
Or course, the downside of a SaaS approach to Business Intelligence is not trivial. Integrating either a cloud-based point solution or an entire suite with on-premise legacy systems is a major headache. System integrators should be looking at SaaS-enterprise integration as the best thing to happen to IT since Y2K, if you know what I mean.
All of the signs of the early adoption cycle promise to keep programmers and systems analysts busy for awhile. For example, Dresner notes that “so far I’m seeing SaaS and enterprise Business Intelligence purchased by different people in the organization. I can see where integration is problematic.”
It’s the same old story we’ve seen for two decades: maverick line-of-business managers with an immediate need for a low cost analytics solution. Rather than wait for the IT department to add it to the development priority list, the maverick LoB’s sign up with a hosted solution provider using their credit card.
Dresner acknowledges that the integration headache will be solved over time, like the concern over the security of data hosted in the cloud.
IT managers need to take a proactive approach to avoid the integration challenges. You should not think of cloud-based Business Intelligence software as just a fad, the Macarena dance of the week.
“CIOs need to focus on building an integration of data strategy that can enable the flow of data between on-premise and cloud computing-based on-demand environments,” recommends Mark Smith, CEO and EVP of research at Ventana Research, a leading consulting firm focused on the Business Intelligence universe. “CIOs should realize that the hosting of BI is not the difficult element –the integration and loading of data is the key element.”
The legacy Business Intelligence software vendors are stepping up to the plate to offer tools to ease the pain, though. “Many BI vendors can provide their software in a hosted environment, and others have built dedicated products for cloud computing and SaaS rental approaches,” Smith adds.
And, of course, a growing crowd of SaaS-based Business Intelligence software vendors are eager to help, too. In fact, Dresner predicts that this new crop of start-ups, typically founded by alumni of the existing market players, are creating the BI 3.0 era. In this view, the expensive and complex on-premise BI applications become legacy systems.
But that’s another story. If you’re interested in the CIO panel, an article summarizing the discussions will be posted soon at this web site: Microsoft Global High Tech Summit 2010.
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.