Data is a tangled, messy, and above all – invaluable. Data wrangling has grown into a coveted skill, but it takes a knowledgeable data scientist to unravel the best and most strategic insights from the wealth of data lurking in our digital universe. Today's businesses exist in an enviable era. A plethora of data lurks just beyond a business's fingertips: across social media outlets, the web, smartphones, corporate databases, and beyond. This seemingly endless world of imminent knowledge needs to be lassoed and converted into sensible insights. This disparate data emerges in a variety of formats, each of which must be cleaned up so that it can be read and understood by the algorithms used by analytics software. This means data must be gathered and scoured before it is turned into useful observations. If analytics software is to handle these tasks, data scientists who are savvy across an intricate spectrum of requirements must be the ones programing it. Not only do these scientists need to understand the data formats being analyzed and the questions that must be asked, it's imperative they have intimate knowledge of how to tweak and optimize the software, and still comprehend the nuances of a particular business's pain points and goals. Data can then be harvested and combined to build broader patterns – ultimately delivering valuable insights. It's a task not for the faint of heart – or the inexperienced. Gathering, Analyzing, and Presenting … Continuously When businesses decide to tackle data analysis, they must know how to apply appropriate analytics, which will extract the most relevant insights, and ultimately align with stakeholders' requirements. After gathering this knowledge, it's necessary to look at how the insights are presented, making sure it is done in such a way that it benefits a particular business in a given industry. Though it may seem at this point that we've approached the finish line, the truth is, data wrangling is an ongoing science. It isn't merely relevant during software's initial implementation. Working with data is a continuous masterwork, one that needs to be constantly honed and fine-tuned. Getting software to deliver strategic insights one time isn't nearly enough – it's important to understand that data analysis is a continual process, one that's best handled by experts. This is in part because as businesses learn from data insights, they may choose to move forward on an altered course, and the purpose of data gathering and analyzing could change. When this inevitable scenario arises, data experts are able to adjust for this on the fly. The Power of Joining Software and Talent Through a single vendor, Solution as a Service (SolaaS) marries powerful data analytics software with data scientists who understand its intricacies, plus have deep knowledge of the challenges faced by all manner of businesses. SolaaS allows the vendor's talent to hit the ground running – there will be no time lost ramping up on software or business knowledge at the expense of the customer. SolaaS customers also avoid runaway consulting costs, are guaranteed predictable and repeatable results, and never have to worry about talent retention. With SolaaS, not only are businesses able to properly target, sift through, and analyze data using some of the industry's most capable software, they're given expert service in the form of highly trained data scientists who can best exploit that data to the company's benefit. Not only do insightful data patterns reveal themselves, but so too do unexpected bonuses. Through data analysis, experts can pinpoint flaws which already exist or suddenly emerge – allowing businesses to recognize and quickly tweak minor issues before they turn into an all-out crisis. Summary Businesses are abuzz with the extraordinary value of data analysis. To gather the best insights from the tangled world of data, SolaaS coalesces powerful analytics software with highly trained data scientists working together through the same vendor. As data patterns emerge and scientists gather and share insights, SolaaS unlocks a powerful potential: data-informed decisions ultimately driving businesses forward.