Wikibon examines why Public Cloud services has outpaced Private Cloud consumption for the past 3-5 years. By understanding the challenges of Private Cloud deployments, IT organizations can better align budgets and research towards True Private Cloud services than enable better business applications.
The concept of Private Cloud has been in the market since 2008, but the ability of IT organizations to build Private Cloud services that match Public Cloud have been limited. Wikibon forecasts the Private Cloud market revenues from 2015-2026, as well as introducing the enhanced concept of "True" Private Cloud.
The Oracle Storage Cloud enables Application and Infrastructure teams to leverage a Cloud platform that was designed for Enterprise Oracle applications. Wikibon looks at the integrations that bring simplicity and value to Oracle customers.
Wikibon key findings include: - The breakeven for most migration projects from 7-Mode to Clustered ONTAP are poor at over 50 months - the Internal Rate of Return (IRR) is anemic at 12% or lower; - For most workloads there are better strategic alternatives if a move must be made; - NetApp customers with 7-Mode running well should pass on converting to Clustered ONTAP, and focus on conversions to true private clouds and public clouds; - Storage vendors (and other component vendors) should no longer be considered as strategic partners by enterprise IT.
This study and other Wikibon work shows very clearly that enterprise IT should deliver their software and solutions using true private cloud solutions where possible. The reduction in operational costs from reduced testing, lower operational maintenance costs enable either lower IT solution costs, or faster and more profitable value-based application deployment. Because of the additional integration of the Oracle hardware and database software, and the virtual licensing costs of the Oracle database, the Oracle Database Appliance is very likely to be the lowest cost solution, and give the fastest time-to- value when compared to bespoke component solutions.
Choosing a data preparation and integration tool is the first step in upgrading Systems of Record to Systems of Intelligence. If the goal is of the new Systems of Intelligence is highly differentiated functionality supporting a business strategy, specialized systems may have have an advantage. If the goal is matching the competition with the new systems and differentiating elsewhere, the greater simplicity of an integrated solution will probably be more competitive.
IT practitioners should collect the requirements from each of the constituencies that are going to be involved in building the new analytic pipeline. If an integrated product such as Informatica or Pentaho doesn't meet the requirements, they should evaluate just how much internal integration work they can support and whether the speed of the final pipeline can deliver on its performance goals. The more sophisticated enterprises with more specialized skills typically can support highly custom solutions.
IT management practices must evolve to bring mature transaction systems and contemporary analytics capabilities together. The phrase "contemporary analytics" refers to Predictive Analytics (PA) and modern Decision Management (DM) systems that, when leveraged with existing Systems of Record (SoR), form a coherent, agile and new operating model we refer to as Systems of Intelligence (SoI). By incentivizing all levels of management and professionals to adopt this approach, organizations will be able achieve large and sustainable returns on investment. All other strategies, especially those requiring conversion of SoR to another platform or another package, will almost certainly add years to the project and add enormous business risk.
Wikibon delivers insights from the 2015 Future of Cloud Computing survey, including a look at how Hybrid Cloud and Public Cloud are becoming the dominant usage models. Gain insight into the trends, drivers and inhibitors that will shape IT spending and Cloud Computing over the next 12-24 months.
The overall Worldwide Big Data market for products and services is in the midst of explosive growth, topping $27 billion in 2014, growing to over $61B by2020 – a compound annual growth rate of 15%. Professional services represented 43% of the market in 2014 and its use is widespread.