In 2006 I posted a presentation on Slideshare called, “What is Driving the Shift to On-Demand BI?“ While it might have been a little early in terms of cloud business intelligence adoption, looking at it today shows that most of the industry analyst predictions were actually quite conservative when it comes to cloud adoption in the enterprise. I listed the drivers for the shift to analytics as a cloud service as:
- It just makes sense
- Simple, simple, simple
- OLTP –> OLAP
- Because Gartner said so!
- “Date a fad, marry a trend.” (with acknowledgement to @kellblog of course)
Here’s the presentation.
Recently Amazon.com announced that Redshift, their data warehouse solution, is the company’s fastest growing AWS service. Over 1000 global customers are moving significant business intelligence initiatives to Amazon’s data warehouse in the cloud. This video does a pretty nice job of explaining how it works and why the value proposition is so compelling.
Big Data , cloud computing , SaaS Business Intelligence
Tags: analytics, big data, business intelligence, cloud analytics, cloud BI, Gartner, Informatica, iPad, sandhill.com, Tidemark
I sat down with my friend Patrick Morrissey this week to discuss the business intelligence market, Big Data and all things cloud. Pat runs marketing for a hot new company called Tidemark. This was a follow up to a discussion published on the Sandhill.com site: Enterprise Performance Management in the Cloud on an iPad.
Here are the questions he asked. You can read my answers here: Five for Friday – Darren Cunningham of Informatica Cloud.
- Analytics and business intelligence are top of mind for organizations today and Gartner says that BI is the #1 CIO priority in 2012. Why is this such a hot button issue?
- If analytics are so critical to business success, why do so many projects fail?
- There is a lot of talk about “Big Data” in the press, blogs and industry events. How do you think about Big Data?
- Many larger organizations are now moving to “Cloud First” as their enterprise IT and application strategy. How does cloud change the game?
Definitely some great questions – how did I do? Want to take a stab at answering them? What’s your POV?
Tags: Amazon Web Services, analytics, bi-coe, business intelligence, data warehousing, data-integration-quality, data-mining, Databases, Enterprise resource planning, kpis, NetSuite, Salesforce.com, service, workday
This post provides a comprehensive overview of cloud integration use cases, options and approaches. It’s definitely worth reviewing if you’re interested in the topic.
via Business Analytics 3.0
business intelligence , cloud computing , data integration , Data Integration in the Cloud , PaaS , SaaS , SaaS Business Intelligence
Tags: business intelligence, cloud BI, cloud business intelligence, cloud computing, data warehousing, Databases, IBM, Informatica, MicroStrategy, Microstrategy Cloud, ParAccel, SaaS BI
MicroStrategy entered the cloud BI market today by announcing the general availability of MicroStrategy Cloud. From the press release:
“Compared to traditional on-premises BI approaches, MicroStrategy Cloud is quicker to deploy (within 48 hours) and more flexible, delivers world-class performance, and offers significant financial advantages. MicroStrategy Cloud is powerful and flexible enough to support the full range of cloud use cases, from fast, flexible tactical BI solutions, to the largest implementations where performance and scalability are imperative.”
The announcement goes on to highlight the following benefits:
- World-Class Performance
- Integrated Database and Data Integration
- Accelerated Time to Market
- Comprehensive Security
- Elite Platform Partners
Of note on the partner front:
- “IBM Netezza will provide its complete family of analytical appliances.”
- “MicroStrategy Cloud customers will be able to choose from a multitenant Cloud-based Data Integration solution, or run their own dedicated Informatica environment in the MicroStrategy Cloud.”
- “ParAccel will bring its analytic platform to MicroStrategy Cloud customers, delivering extreme scalability to thousands of nodes and tens of thousands of users in a flexible, solution that is optimized for virtualized and cloud-based environments.”
Is Cloud BI 2.0 now upon us? Be sure to read the entire MicroStrategy Cloud
press release for more details.
business intelligence , cloud computing , CRM , PaaS , SaaS
Tags: business intelligence, Cloud integration, cloud middleware, cloud services, Customer relationship management, ERP, HR, Information technology management, SaaS, SaaS Integration, software as a service, Supply chain management
CIO.com recently featured a summary of Forrester Research analyst Liz Herbert: How SaaS Will Impact 6 Key Software Categories. They are:
- IT Management Applications
- CRM Software and productivity applications
- ERP and Supply Chain Software
- Business Intelligence
- HR Software
- Platform and Middleware Solutions
No big surprises here, but the article also provides some solid recommendations for source executives, “in light of increased SaaS adoption.”
“Sourcing executives must prepare for a hybrid landscape where SaaS co-exists with on-premise and hosted solutions, with many new vendors in the overall software portfolio. To navigate this complex environment, sourcing professionals should consider weighing the valuable aspects of SaaS — such as functionality, community, and accessibility — with risk elements — like vendor viability, vendor lock-in, and security.”
AppExchange , business intelligence , cloud computing , CRM , data integration , PaaS , SaaS , Salesforce integration , Salesforce.com
Tags: archive, backup, business intelligence, cloud computing, Cloud integration, data warehousing, Force.com, Replication, SaaS Integration, Salesforce integration, Salesforce.com
Last week we hosted a webinar on cloud data replication, with a particular focus on Salesforce CRM and Force.com. The level of interest and interaction was amazing. Whether the use case is back-up, compliance or business intelligence, having a flexible and cloud-based approach to cloud data replication is clearly critical to software as a service (SaaS) application and platform success. You can check out the recording here.
Thanks to the folks at Tableau for publishing the latest Gartner BI Magic Quadrant. I’ve been out of the pure BI market for a couple of years and I have to say I’m a little surprised by the results.
- Microsoft on top. Really? Last I heard they blew up the core BI team and this was primarily an Excel + Sharepoint play. Guess that’s working well for them. Do they break out BI Platform revenue? Are they displacing SAP/Business Objects and Cognos/IBM in the enterprise?
- Oracle #2. This is less surprising given the Siebel and Hyperion technology they provide, but I didn’t realize their story had come together to this extent. Is there a separate BI sales organization these days or is this also mainly sold an add-on?
- IBM (Cognos) way out on vision (but seems to be overshadowed by the vendors above them). Congrats to them on their latest release. It appears to have had an impact.
- Information Builders name should have been in the top left. The optics of the current location certainly play in their favor for the casual observer.
- QlikTech and Tableau not further ahead on vision. This is what I don’t get about this (and most other) quads. From all accounts QlikTech and Tableau are disrupting the market and growing at a phenomenal rate (albeit from a smaller base). Why aren’t the newer vendors who are innovating and disrupting given more credit on vision? Their execution is clearly impressive.
- SAP (Business Objects) is in such a weak position. What am I missing here? Who’s running analyst relations over there? This can’t have gone over well with my friends in BI marketing at SAP. In this just the on-going sea-saw with Cognos, was it the Cognos 10 release that helped them get so far ahead? How will SAP counter?
- Pentaho didn’t make the cut. I’m not sure if this is so bad given the bottom left position of fellow open-source BI vendor JasperSoft.
- Corda, arcPlan and Accuate are still in business. These guys have been around for a long time. What direction are they moving? Congrats to LogiXML for making the cut this year. I haven’t heard of Board International (name needs work), Targit, Salient,or Bitam, but congratulations to them as well.
- No SaaS BI…yet? Okay, just throwing that in. I realize there’s a revenue threshold here, but I do wonder how vendors in the cloud BI market are doing at this point.
Full disclosure: I realize the above “analysis” (ok, questions and commentary) is exactly what Gartner doesn’t like, but in my experience it’s exactly how both vendors and customers review these quadrants.
Any insight appreciated. Here’s the quad:
cloud computing , data integration , IaaS , Informatica , PaaS , SaaS , Salesforce.com
Tags: business intelligence, cloud computing, Cloud integration, cloud predictions, cloud services, data warehousing, Gartner, private clouds, public clouds, Salesforce.com
Thanks to my friend @rssanborn for tweeting this 2015 Cloud Checklist:
- Accept that many cloud providers already are better at security than you are.
- Private clouds should not be your end game.
- Know how to structure contracts.
- Understand the workloads you’re supporting.
- Seek coordination (not control) of cloud resources.
#5 in particular caught my attention. It speaks to some of the issues I’ve written about in this post about cloud politics and the role of data integration. I like how the author of the CIO Insight post, Tony Contzer, puts it:
“Those who try to put the kibosh on a business unit’s rogue adoption of cloud services are on the same fruitless path as the CIOs who fought Web browsers and voice over IP.”
The article features a few choice quotes from Gartner‘s Daryl Plummer (see his video interview in this post). He notes:
“Business units are not going to let you take back control. You can’t put the horse back in the barn.”
I was recently interviewed by Leigh Dow at ITToolbox and put it this way:
“With the SaaS model, the business can just go get software, do a trial with a credit card and start adopting and managing SaaS applications autonomously. What often happens is a spiral of tools manifest in the company and at some point you get “SaaS sprawl.” No different than what we saw in BI in the Data Warehousing space when data marts popped up and at some point they needed to be consolidated. It is becoming a huge problem for IT. One customer told me, “we need to get on this cloud train or get run over by it”. Being the “department of no” isn’t an option.“
AppExchange , cloud computing , CRM , Informatica , PaaS , SaaS , Salesforce integration , Salesforce.com
Tags: business intelligence, cloud computing, Cloud integration, cloud services, Customer relationship management, data replication, Force.com, Informatica Cloud, SaaS BI, SaaS Integration, Salesforce.com
Ever wonder what the benefits are of having the right strategy for cloud integration?
Here is a summary of two Salesforce.com customers who integrate CRM and on-premise applications, databases and files. The first is a mid-sized company that enabled nontechnical business users to perform self-service cloud-based data integration. Benefits include:
- Enhanced the accuracy and timeliness of enterprise data for better business decisions
- Helped the company compete more successfully in a challenging building supplies market
- Introduced 360-degree, near real-time, dashboard view of business operations
- Improved customer service via launch of innovative customer portal and other initiatives
- Reduced the cost and risk associated with managing technology
- Increased cost control though improved agent and customer credit checking and management
- Increased the reliability and availability of critical operational data
Download the case study here.
The second is a Global 2000 enterprise that introduced a fast, low-risk route to data replication as service for analytical reporting purposes. Benefits include:
- Reduced the time required to prepare certain reports from days to minutes
- Allowed the organization to make faster, more accurate decisions, based on a single version ofthe truth
- Ensured delivery of timely, relevant, and trustworthy information throughout the organization
- Saved money using low-cost subscription-based pricing
- Enabled more robust reporting and analysis on Salesforce.com data
- Leveraged existing skills in on-premise reporting tools to build better, faster reports
Download the case study here.