What will be the most important trends, in your opinion, to emerge in the next one to two years in enterprise IT, and which will be a boon and which a curse?
CIOs and their teams face a data deluge. Every website visit, sensor reading, RFID tag, infrastructure log, and social media posting generates data that are difficult to store and analyse. The more data from disparate sources that can be analysed, the more patterns and outliers are evident. In turn, employees need better tools than just email or spreadsheets to collaborate on data insights.
Another important trend is Mobile First. This is the idea that applications and websites should first be designed for mobile devices, with a focus on only those tasks and items mobile website visitors use most. In fact, enterprise mobility has evolved from a fancy option to become one of the top priorities of most organisations. We see the Mobile First strategy with deep analytics on customer behaviour emerging now and being explosive for the next several years. This is both a boon in terms of end-user productivity and a curse because managing a Mobile First environment brings new and difficult challenges.
New technology layers, strict governance practices, regulatory mandates and evolving security threats have all combined to increase the cost and complexity of running IT. According to some industry forecasts, in 2013 organizations will spend US$3.8 trillion globally on IT. And as competitive pressures grow more intense, the ability to gain operational intelligence from IT infrastructures has become a business-critical measure of success for today's organisations.
How are you and your organisation preparing to help CIOs overcome the challenges brought on by these trends?
The key to effectively managing, securing and gaining better intelligence from IT is locked in the data that IT systems generate. This machine-generated data holds the answers to what customers, users, applications, networks and devices have been doing. In the past, companies have had to manually traverse silos of data to get value from this information-a cumbersome and expensive activity, far removed from the business decision-making process. Splunk enables a dramatic shift in approach to ensure the right information is available to the right people at the right time. An effective approach is required to integrate all this machine data and provide the necessary visibility, regardless of format or location.
Do you foresee these emerging trends and your interactions with customers, moving forward, forcing a change in your solution offerings moving forward?
At Splunk our mission is to make big data accessible, usable and valuable to everyone. It remains a continual focus for us to make Splunk software faster, easier to use and easier to manage for enterprise deployments. In addition, Hadoop is being used as a cheap resting place for data, but extracting value from the data is complex, costly and time-consuming. Industry analysts say that the cost of services to support big data initiatives is very high, relative to software purchases (20X that of software) and that skills are rare and in high demand. Organisations are deploying clunky and ill-fitting ETL processes or a BI data warehouse solution, but more often than not, the value in the data is simply stuck there. This is why in June this year, Splunk announced Hunk: Splunk Analytics for Hadoop Beta. Hunk offers a significant opportunity for organizations to drive dramatic improvements in the speed and simplicity of interacting with and analyzing data in Hadoop without the programming, costly integrations or forced data migrations. It is designed to enable data analysts, data architects and data scientists to explore and extract value from data in Hadoop faster, or to empower other teams to explore and analyze data themselves.
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