What fuels modern analytics performances?

Big data is among the more powerful but misunderstood technologies out there today, as so many organizations have deployed the solutions but very few have actually enjoyed optimal results and performance shortly after implementation. One of the big problems in the intelligence arena is the way in which many firms’ strategies and processes lag behind the technology itself, with leaders thinking that the tools will function perfectly on their own.

When businesses do not have the skills necessary to handle data preparation and other backend requirements, or if there is no shift in culture ahead of the analytics technology being implemented, the tools will simply not get the job done. Working with a managed service provider to develop a more forward-thinking and carefully aligned strategy can go a long way toward boosting return on investment and driving the overall impact of intelligence solutions over time.

The basics
Dataconomy recently listed some of the core procedures that must be handled properly to enjoy solid experiences with big data, affirming that the first step is always to establish feasible goals for specific projects. This has become one of the more common recommendations from experts and analysts, as many firms will not have a focused goal in mind, nor a small project for their big data investments, instead trying to use the tools too broadly and not seeing much impact as a result.

Staff members must work together to get big data programs off of the ground.Staff members must work together to get big data programs off of the ground.

According to the news provider, these initial projects will be critical in getting early wins that can be built on, and can help to ensure that the individuals involved are learning core requirements before expanding the programs further. Without this approach, leaders will quickly begin to see just how unwieldy the technology can be, while firms that do follow this suggestion will likely enjoy returns coming through a bit more quickly.

The source also argued that change management is a big component of modern analytics, and companies need to find ways to boost the agility of both the strategies in place and the manner in which the technologies are being used on a daily basis to navigate rapidly evolving landscapes. Furthermore, Dataconomy noted that relevant skills must be acquired to get the most out of intelligence solutions and avoid major risks or disruptions throughout their respective lifecycles.

The road less traveled
Because so many organizations have gotten these basic procedures wrong, companies that strive to take a balanced and intelligent approach to analytics will likely be able to gain an edge over their competition. Working with a managed service provider for core needs such as strategic support and data cleansing can reduce the risk of not enjoying return on investment or optimal performance of the intelligence solutions deployed.

At the end of the day, leaders are planning to spend more on these technologies in the coming years, and those who take the safest route for the initial stages of use will protect themselves from financial loss and disruptions.