10 Steps for #CloudComputing #BusinessIntelligence Success

  1. Study Pricing and Total Cost of Ownership (TCO)
    Total cost of ownershipMany cloud analytic solutions offer per-user licensing on a monthly, quarterly or annual subscription basis. Be sure to work through the model that best fits your firm. Take into account the overall length of the project and expected growth to ensure the total cost of the project over time meets your goals, EMA asserts.
  2. Architecture and Features
    2. Architecture and FeaturesIn addition to studying current features, examine the release schedule and roadmap for your provider to better understand when new releases will be available. Some cloud analytic firms have a monthly release cadence. Others are quarterly. Depending on the architecture of your provider, you may be able to align these releases with your optimal IT schedule and business flow. Customization can be difficult in many cloud environments; be sure to investigate your specific needs and determine costs in advance. Some environments that are multi-tenant (many customers sharing a single architecture) can be restrictive with regards to custom features, EMA says.
  3. Service Management and Service Level Agreements (SLAs)
    3. Service Management and Service Level Agreements (SLAs)Determine how the provider supports new user provisioning, license management, system load balancing, and elasticity, as these are all critical components of a high performing system. Find out if the provider has assigned technical support and real-time chat support for customers, EMA recommends.
  4. Transparency and Communication
    4. Transparency and CommunicationCheck to see if the platform offers a real-time performance portal so customers are able to see system performance, uptime, outage scheduling, support issues, and scheduled maintenance, EMA suggests.
  5. Application Programming Interface (APIs)
    Robot with application programming interface sign. Technology concept. Isolated on white backgroundAPIs can ensure a cloud analytic environment doesn’t become an isolated silo. Additionally, some vendors will create an extensible environment by publishing and supporting Software Developer Kits (SDKs). If flexibility and connectivity are critical to your deployment, look for vendors who excel in this area, EMA asserts.
  6. Platform Security
    Safe cloud computing. Digitally Generated Image isolated on white backgroundLook for vendors that take the security challenge seriously. Leaders in the market are investing in their infrastructure and policies to deliver a high level of performance, EMA says.
  7. Proof of Concept (POCs)
    network_simple_commnunication12Deploy a POC before committing to a long-term cloud analytic partnership. POCs reduce risk and help ensure a smooth transition to the right vendor solution, EMA notes.
  8. Training
    8. TrainingMany SaaS solutions offer intuitive user interfaces, but training remains important. Research whether the vendor supports a community of users that you can leverage and learn from. Visit the forums and FAQ resources, research user groups, onsite seminars, and conferences designed to support you and your team post-purchase, EMA recommends.
  9. Vendor Strength
    9. Vendor StrengthResearch a company’s revenue and financial status (if the information is publicly available). For newer options, check the funding sources and venture capital positions, executive team, partner networks, and references, EMA says.
  10. Exit or Relocation
    Emergency exit sign glowing in the dark

    Emergency exit sign glowing in the dark

    Before committing to a vendor, understand the process for migrating to on-premises deployments. Some vendors are capable of serving their solution both ways, and at some point your circumstances may require moving the solution back behind your firewall. Be sure there is no impractical data transfer fees or penalties in the contract that make this process difficult, EMA concludes.

Source:  10 Steps for Cloud Business Intelligence Success



How GoPro Is Using #BigDataAnalytics in The #CloudComputing to Kick Everyone Else’s Butt

We run around talking about how important analytics is and yet there are few really compelling examples of how well it is working. Part of this is because the vast majority of implementations are still in process and haven’t gotten to value yet, part is because they were done wrong and value wasn’t found, and part because firms don’t like sharing with competitors how they are kicking those competitor’s butts.

GoPro, however, is the perfect example of how analytics are being used competitively to out-execute much larger companies like Sony.

So starts the article on published on August 3, 2015.  This article is a must read on how to use big data and analytics to out maneuver your competitor.  The challenge is adapting the technology to brick and mortar retail.

Interestingly GoPro implemented the same strategy that we at Vortisieze execute every day.  Data in the cloud, strong big data technology and a top-notch analytics engine.  Like GoPro, Vortisieze partners with Cloudera.  To round it out though, Vortisieze maintains its own data cloud and leverages MicroStrategy (et al.) for the analytics engine.

Contact us today for your complimentary BI consultation.


Source: How GoPro is using Amazon, BMC, and Cloudera to kick everyone else’s butt


#AnalyticsInRetail – Insights Can Show You Competitive Pricing, Positioning And Marketing Strategies #CPG



When considering what tool to use to gain insights from analytics in a retail environment what factors are most important?

You probably want relevant data sets, intelligence, custom reports, dashboards and support to help develop a fact-based brand strategy.  This gives you the tools to gain competitive pricing, brand positioning and retailer specific marketing strategies.

One question to ask is – does your retailer specific sales team have a responsive relationship with the IT department in your home office?

No – then perhaps a cloud-based analytics tool is best for you. You pay for it out of your budget – doesn’t require any hardware or software that IT must approve – or worse – want to control in their empire.

In today’s vendor community agility counts – look to the cloud for the best analytics in retail.