Posts Tagged 'SaaS BI'

Better Business Analytics in the Cloud

I moderated a SnapLogic webinar today focused on the market shift to business intelligence, analytics and enterprise performance management delivered in the cloud. We discussed the trends, shared some industry analyst perspectives and demonstrated the importance of cloud integration to an overall business analytics as a service strategy. Here’s the presentation. You can watch the recording when it’s posted here. As always, feedback welcome.

Here are some of the links referenced in the presentation:


2012 Cloud Data Integration Trends

Ok, there’s a lot I know I missed (usage-based integration services and the role of a vibrant Marketplace come to mind), but here is my set of 2012 cloud data integration predictions:

  1. Get Ready for Data as as a Service
  2. True Cloud MDM will Emerge
  3. Analytics as a Service is Ready for Prime Time
  4. Enterprise PaaS Adoption Leads to Integration Platform as a Service
  5. IT as a Service: The Conversation Continues

You can read the complete post on the Informatica Perspectives blog.

I’d love to hear any feedback and input you might have on the topic. We discussed some of these and other trends in a webinar today with Jeff Kaplan from THINKstrategies: Doing Data Right in the Cloud – How the Best Companies are Getting it Done. Here’s the recording on YouTube:

Next Generation Cloud Business Intelligence?

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.

TDWI Q&A: Data Integration and Cloud Computing

Image representing Informatica as depicted in ...

Image via CrunchBase

I participated in a Q&A session with TDWI recently and provide my thoughts on the following questions:

  • What impact is cloud computing having on traditional IT roles and responsibilities?
  • What are some of the barriers to adoption of cloud-based applications and platforms?
  • What is the role of data integration as it relates to cloud computing?
  • Can companies move incrementally to the cloud without making a full-on commitment?
  • What about service-level agreements? How should they be enforced with cloud vendors?
  • What sort of architecture should companies look for, especially for BI and data warehousing applications?
  • What about performance concerns, especially with large data sets?
  • How is Informatica addressing the cloud computing opportunity and challenge?

As there doesn’t appear to be a comment section on the site, I’d appreciate any feedback or comments you might have on the discussion.

Cloud Integration Customer Success

Ever wonder what the benefits are of having the right strategy for cloud integration?

Here is a summary of two 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 data
  • Leveraged existing skills in on-premise reporting tools to build better, faster reports

Download the case study here.

Data Replication as a Cloud Integration Service

Last week the Informatica Cloud monthly webinar focused on Data Replication as a Service. The discussion was centered around the growing importance of data replication as part of a cloud application strategy and summarized three critical steps:

  1. Determine your use case. Potential data replication as a service use cases include compliance, archiving, reporting and analysis, and enterprise data warehousing.
  2. Identify specific objects and columns. Instead of replicating all objects and columns, can you take advantage of incremental loads, changed data capture, eliminate deletions, etc.
  3. Establish a replication schedule. While batch data movement is critical for backup, an operational reporting use case may require near real time.

Many of the questions were about on-premise to on-premise use cases:

  • Can you move data from an Oracle database to a file (and vice versa)? Yes!
  • Does the use case have to be focused on a Cloud application like No!

You can view the presentation here and download a best practice data integration as a service for whitepaper here.

7 Guiding Principles for Selecting Integration Friendly Application Partners

I liked this post on the PivotLink blog:  How to select integration partners, the DMA way. A SaaS BI customer provides an overview of their implementation and points to 7 Guiding Principles for Selecting Integration Friendly Application Partners. They are:

  1. Commitment to products, services innovation aligned with our technology vision
  2. Commitment to protect data confidentiality and respect for data ownership
  3. Provides cost effective, scalable solutions
  4. Financially viable and have experience hosting
  5. Provides high service levels (up-time) backed by service-level agreements
  6. Flexibility approach to customized/ professional services with exclusivity
  7. SaaS 70 Type II Certification

It’s a good list and a good post, highlighting the importance of data integration in the era of cloud computing.

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