Business Intelligence Trends 2013: The Breakthrough of Do It Yourself BI and the Breakup of Big Data
by Markus Gisske
arcplan recently examined the trends that will shape the BI landscape in 2013 – self-service BI, collaboration, and mobile BI. Under the umbrella of Do It Yourself BI (DIY BI), these trends will come to the forefront and big data will lose steam. It might be controversial to say, but we have our reasons.
Enterprises are demanding an increased focus on cost reductions and customer profitability – typically under business users’ purview – which constantly impacts the development of BI as business users are driving future trends. In 2013, business users will demand easier ways to access and analyze data, pushing their employers to purchase the self-service tools that BI vendors have been developing over the past few years and leading to a true breakthrough of DIY BI. Beyond that, the big data challenge has not yet been solved with an easy-to-digest solution, causing a lot of the hype to die down next year (for good reason). Let’s examine these trends further:
DIY BI Part I: Self-Service BI
In the past, BI was limited to a few expert analysts and users in the IT department. No doubt it has come a long way since. More and more BI users are taking over tasks traditionally dominated by IT developers, such as report development, dashboard creation, and ad-hoc reporting. In fact, Forrester Research advocates that 80% of BI tasks should be in the hands of business users themselves – and these business users need easy-to-use interfaces, programming-free BI app creation, the ability to search, write-back and drill-down, and data exploration capabilities.
In 2013, the delays associated with IT will be brushed aside in favor of the speed, control, and rapid access that comes along with self-service BI. The demand will increase for modern ad-hoc tools that allow users to directly tap the corporate data warehouse and provide a high degree of flexibility to slice-and-dice the data for insight on the fly. In-memory technology, advanced visualizations, and the broader emergence of HTML5 will support developers in creating multifaceted web-based apps that run on any device via a standard web browser and offer simple, intuitive self-service features every type of user can enjoy. Users will become more self-sufficient in 2013, able to get the information they need in order to optimize and accelerate their decision making processes.
DIY BI Part II: Collaboration
2nd Annual arc|ademy BI Challenge – Submit Your Application, Students!
by Markus Gisske
It’s that time of year again – when we invite students in the DACH region (Germany, Austria, and Switzerland) to create innovative BI applications for a chance at our 15,000€ prize fund! We’re looking for university-level computing and economics students to create outstanding analytics and planning solutions on the arcplan 7 platform that solve real business pains. Students can apply individually or in groups in three categories:
- Innovation: applications that are novel in their visualization, methodology, or technical approach
- Fast Mover: solutions that have been developed in a short time span or can be deployed quickly
- Business Excellence: applications that aim to improve the quality of business decisions
Each winner, selected by a jury of industry and media experts, will receive 5,000€. Last year’s winners will be presenting their solutions at our arc|planet user conference in October. Winners of the 2013 competition will also get this invaluable exposure to DACH companies at next year’s arc|planet.
Entrants should be as creative as possible, developing solutions such as management cockpits, web-based analysis and reporting applications, balanced scorecards, or anything in between. There’s just one condition: projects must be developed during the period from September 1, 2012 to February 28, 2013 as part of an ongoing study program or college-related internship.
Don’t Fear Cloud Computing (or Cloud BI)
by Markus GisskeCost efficiency, flexibility, and availability of data are key advantages of cloud business intelligence
This year, cloud computing is set to dominate CeBIT, the international IT and telecommunications trade fair held each year near arcplan’s headquarters in Germany. According to a recent survey by the analyst firm IDC, cloud computing will account for 10% of global IT expenditure by the year 2013. While we have taken advantage of cloud offerings in our private lives without hesitation for years (just think of Google Maps and Gmail), businesses have only been comfortable with a few applications (like CRM) residing in the cloud. Many companies still have doubts when it comes to shifting applications into the cloud when security is critical, as it is with business intelligence. Concerns over data security breaches and their consequences are holding some businesses back; however, the advantages of cloud-based BI clearly outweigh the potential drawbacks. Here are our most important reasons for moving business intelligence applications into the cloud.
Cost efficiency is key
Among the greatest advantages of cloud BI are cost savings and reduced capital commitment. Upgrades, maintenance and administration of on-premise software are time-consuming and costly. If companies shift their BI solutions into the cloud, they will no longer have to budget for large, up-front purchases of software packages or carry out time-consuming updates on local servers. In the cloud, upgrades are installed directly by the service provider in near real-time. Using any kind of device (desktop computer, laptop, tablet PC, or smartphone), employees can access the most recent version of their BI solution, independent of location and without having to download upgrades or request updates from the IT department. Users can therefore focus completely on data consumption and analysis, getting the most from BI without having to deal with the infrastructure.
Large- and small-scale flexibility
Companies that manage their own BI systems on-premise have invested in their infrastructure to deal with ever-increasing quantities of data. To analyze data volumes amounting to petabytes or even exabytes and have a 360-degree view of data in real-time, immense processing power and extremely large amounts of memory are required. For processor-intensive BI applications, solutions running in-house can quickly reach their limits. This makes another of cloud BI’s advantages clear: the enormous flexibility afforded by cloud software deployment.
2011 is rapidly winding down, and we’re talking to a lot of customers who are currently planning their BI initiatives for 2012. The New Year brings resolutions, personal and professional, so we’ve taken stock of what we’re hearing and put together this list of our recommendations for resolutions your company should consider to optimize your BI in 2012. Are we right? What others are on your schedule for next year?