Big data is now what drives every market and just about every major business investment decision. But converting data from an ocean of noise to something useable is a specialized niche skill that few seem to have.

 

Businesses and organizations today have an enormous sea of information available to help drive decisions, maximize the efficiency of processes, and ultimately drive revenues ever higher.

But the availability of data across every market and industry is just as much a blessing as it is a curse. Data is noisy — without a qualified expert to translate data into an informational resource, something that can be easily consumed, understood and applied, data really doesn’t provide any real use until it’s become refined.

That’s not as simple as it sounds — the act of turning a broad expanse of figures into something that a business can use is a highly specialized, specific skill set that very few professionals bring to the table. As such, the demand for skilled data analysts far exceeds the supply of those able to fill the need and reveal the insights hidden within the caches of market- and industry-specific data resources.

Skilled data analysts sift through the noise to find the relevant truth

 

Researching and gathering data is just the beginning when it comes time to find market-specific insights that can provide meaningful, informed direction. In fact, the same set of raw data can apply to myriad industries, markets or organizations — depending on how that data is filtered through, translated and ultimately presented.

The professionals who bear the skills needed to understand the data that they’re dealing with and find the information most valuable and relevant to the market at hand are those who approach with a statistically analytical mindset, those who understand the complexities of the market whose data they’ve gathered, and those who are able to present it in a format that industry professionals can understand and use.

The most successful model for data analysis has proven to be a collaborative model. Data analysis calls for myriad types of expertise and strengths to find the core truth within the noise. As such, businesses may find that the best possible results will come from identifying a team of experts with eclectic backgrounds to gather, translate and filter through the data available in order to gain the most powerful insights. This should then become easy for the user who consumes the information to make those business investment decisions.

Discretion is key

 

Big data shows no sign of slowing down or becoming less prevalent in the years coming — in fact, quite the opposite.

So of course it follows that one of the most important factors with some serious implications is the ability and cooperation of data analysts to protect the information to which they’ve been granted access. Businesses would do well to ensure that the experts they entrust with their data, research and information are those well-equipped to navigate the complexities of confidentiality.

So wait no more today, trust your instinct and sign up to DataEco’s insight that will bring the knowledge to your fingertips.