Experts suggest the high road for analytics adopters

The big data revolution has started to shift into higher gears of late, with a much larger volume and greater diversity of organizations deploying the solutions and aligning them with a wider range of objectives and requirements throughout operations. Because of the competitive advantage that can accompany a successful analytics deployment, specifically in the sense of waste reduction, efficiency increases and fewer mistakes in the decision-making process, it only makes sense that analytics tools are in high demand.

One of the issues facing the market and the companies that have adopted the solutions is user-friendliness, though, and more specifically a widespread lack of qualified professionals in the IT department to integrate and manage analytics programs. This is one of the many reasons why so many firms have begun to look to outsourced service providers for various needs such as data preparation and virtualization, and will likely continue to be a theme in this discussion for years to come given the increasing strain of the talent gap.

Word to the wise
Gartner recently argued that business leaders need to be a bit more willing to outsource their analytics programs and processes when they do not currently have experienced staff members on board, or cannot afford to hire such individuals and keep them on the payroll. According to the analysts, nearly two-thirds of all big data projects are expected to turn up lackluster results by 2017, which will lead companies to completely stop their pursuits of these strategies as a result.

Companies struggling to capitalize on analytics need to seek out support. Companies struggling to capitalize on analytics need to seek out support.

Unfortunately, this problem is already relatively widespread and in need of speedy remedy. Strangely, the solutions and answers are already readily available, and it is just a matter of leaders taking a bit more intelligent approach to their provisioning strategies and management decisions.

“Many business intelligence (BI) and analytics leaders are unsure how to get started with advanced analytics, and many organizations feel they must make a significant investment in new tools and skills,” Gartner Research Director Lisa Kart explained. “But a successful advanced analytics strategy is about more than simply acquiring the right tools. It’s also important to change mindsets and culture, and to be creative in search of success.”

Gartner went on to affirm that teams will still need to be formed internally, but those groups must have access to the support and expert guidance necessary to make the right decisions related to analytics optimization and general management.

Profitable resources
When a firm deploys a new technological solution but fails to properly implement, integrate, manage and optimize the tools, it is essentially wasting valuable time, resources and money. All too often, and well outside the analytics arena, businesses will think it’s more efficient and financially advantageous to purchase out-of-box solutions, upload them, and hope for the best, but with technology this advanced, that is simply not going to cut it.

With the help of a managed service provider that can assist in a range of processes related to big data success, including data preparation, firms can safeguard these investments and boost returns.