When you think about it for a minute, you might agree that basically every aspect of your business can benefit from relevant and timely information—-i.e., data. However, your potentially helpful data can leave you with a puzzle to put together, unfamiliar terrain to navigate, before you can make sense of the information and understand the picture it’s trying to show you.

The puzzle pieces that contain your data could be expressed in various formats, e.g., columns of numbers, pie charts, bar graphs, or the written opinions of researchers and thought leaders. Furthermore, the data sources often use different benchmarks and measuring standards and make getting a sense of things sort of a wrestling match.

Analyzing data reminds me of buying produce at Trader Joe’s and Whole Foods. At Trader Joe’s, the bananas are 19 cents each and there are no scales. At Whole Foods, bananas are 49 cents a pound. How can I calculate what I’m paying for the fruit or the other produce that I buy at each market and compare prices?

Data analysts and other experts say that for much of the information we access, tools that cut through the maze and bring focus to the picture, such as identifying patterns and trends for you to consider, are a must. Otherwise, you’ll be unable to fully comprehend the data’s story, unable to make good use of the information and enable it do what you need it to do, which is to support good decision-making. Micrsoft Excel or Power BI, Python, Jupyter and Apache Spark are among the most highly rated data analytics tools.

Among the most common functions that data analysis is called upon to provide insight are:

Marketing teams use data to examine website visits, often by way of Google Analytics and social media stats, by way of services such as BuzzSumo, Sprout Social, or HubSpot. Understanding what’s happening in the company’s marketplace and revealing customer behavior by analyzing Descriptive Analytic data is a typical goal.

Sales teams use data to understand the customer buying journey and learn what motivates a sale, along with revealing customer buying patterns. With access to unlimited online information, prospective customers are better informed about potential purchases than they’ve ever been. B2B sales researchers have documented that prospects are usually 80% of the way through the buying cycle before making contact with a sales team. Customers are in the driver’s seat.

Finance/ Accounting teams have always had access to the reams of data that’s attached to invoices, accounts payable and receivable transactions, sales revenue, inventory counts and other movements of money and resources.

Operations teams are charged with continually reviewing any number of business processes, from how to source or manufacture the products and services that a company sells, to recommending the most optimal methods to connect those products to customers, to ensuring that company offices are equipped with effective HVAC systems. Obtaining data that reveals operational efficiencies and enables business functions to be executed in the easiest, fastest and least costly or risky methods is the eternal goal.

Yet the question has always been, how can anyone—-multinational conglomerate or Freelance solopreneur—-maximize the value of your data?

• Put data to work Your data is wasted unless you examine it, interpret it and let it guide your actions and decision-making.
• Sort and analyze Appropriately grouping, categorizing and analyzing your data makes business intelligence tools necessary when working with large amounts of data. Today, data analysis means Artificial Intelligence. AI-powered systems will in mere seconds collect, sort, analyze and make meaningful recommendations for you and your team to review and evaluate. If that’s not enough, your AI tool will ”learn” from the data you feed it and the recommendations it makes to continually refine and improve the outcomes.
• Strengths into opportunities Let your data show you where you shine. Maybe it’s your amazing referral rate or customer retention rate. Maybe it’s the memorable customer experience that you create or the loyal followers who’ve turned into brand cheerleaders for your company.
• Prioritize Get clear and pragmatic about goals and objectives the organization would be wise to pursue over the long and short terms. Your customers and their emerging preferences and priorities are certain to influence the strategies and actions that emerge at the head of the line. Let the marketplace guide you.
  

Thanks for reading,

Kim

Image: © Warner Brothers Pictures. Malcolm McDowell in A Clockwork Orange (1971), directed by Stanley Kubrick