Rethink BI : Business Insights over Business Intelligence
The purpose of this business insights thought leadership blog is to share the HP point of view on industry trends such as Big Data and Real Time Analytics, and provide updates on key innovations and solutions.

What are today’s top six requirements for a data management solution?

By Manoj Suvarna – Director, Product Management, HP AppSystems


With the Gartner BI Summit taking place this week in Texas, a recent Forbes article came to mind, giving some trends that Gartner see in the Business Intelligence market.  It made me think about some trends that we’re seeing at HP that are fundamentally transforming data management  which I thought I’d share with you:


  1. Data growth (including types, shapes, sizes, sources)
  2. How data is consumed (e.g. mobile)
  3. Innovation driving cost efficiencies (e.g. low cost storage)

Our customers are requesting the ability to integrate high value, diverse, new information types and sources into a coherent information management infrastructure, and more effectively drive new value for their business, through revenue growth, cost savings or creating new business models.


This means organizations are now evaluating the limitations of legacy data management systems, and finding they no longer deliver what’s needed.  For example, systems based on SMP architecture can present challenges, particularly because they can lack the ability to scale effectively with the right level of performance, resulting in delays in decisions, missed opportunities and dissatisfied business users.


Our customers need the latest solutions with the ability to harness the new data trends to their advantage, and we think that there are six key characteristics that a data management solution should deliver today:


1.  High performance – to deal with increased volume, velocity and variety of data, customers need optimally performing hardware and software to respond to the new demands.


2.  Fast time to value – organizations can’t delay deployment and integration of new data management capabilities – achieving rapid-time-to-value is increasingly top of mind.


3.  Built with Big Data as a priority – the rapid growth of structured and unstructured data, means that any new data management solution should offer integration to Hadoop in order to deliver comprehensive analysis for customers.


4.  Low cost - modern proprietary data warehouses can come with a high price tag.  This can be due to the economics created by vendor lock-in, integrating a proprietary solution into existing infrastructure, or because any change in scale requires a fork lift upgrade.


5.  Simplified manageability – too often customers have to deal with multiple management tools that offer little integration, even from a single vendor.  This limits the effectiveness and increases the cost of a data management solution over the course of its lifetime.  Customers need deeply integrated, holistic management tools to deliver an optimized management experience.


6.  Proven expertise – Data Management and BI platforms should be based on trusted, familiar platforms for end users where leading intellectual property pervades the whole stack from infrastructure to application.  This helps to ensure reduced risk in application design, deployment and lifecycle management.


At IDC Directions 2013 (#directions13) last week, Matt Eastwood (@matteastwood) explained “ Why the Datacenter of the Future Will Leverage a Converged Infrastructure”  and how “converged systems will become critical” with an explosion in growth between now and 2016, driven by the need for customers to accelerate business, lower costs, simplify IT and reduce risk.


We believe that the best way to deliver a data management solution in the market today is on HP Converged Infrastructure.


In our next post on this topic I’ll explain what HP is bringing to market to address the requirements we discussed above, so please stay tuned.


In the meantime, to find out more about HP solutions for Big Data, please go to

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