Information technology and data analytics have upended the traditional business model. Organizations have a lot of data at their disposal. Effectively harnessing data is challenging and requires in-depth understanding of the needs in the business, the data available, and the various available or needed platforms to derive meaningful results.

In the greater Boston area, major economic sectors, such as finance and education, incorporate data analytics, predictive modeling, and visualization at every level of operation. For businesses, such as the finance industry, data analysis powers predictive modeling of growth and earnings, illustrates a more detailed profile of the individual customer, optimizes existing operations, and propels continuing emergence of new applications that hone in on more personalized experiences. Within education and medicine, data analytics lessens the time it takes for researchers to understand the enormous data sets with which they work, allows institutions to integrate and share information quickly, and provides visualization of results for large-scale concerns affecting society, locally to globally.

Current hot trends in data analytics involve refinement of software platforms in place and development of more refined products that harness real-time capability for some business functions. Improving integration of data continues to drive much of the IT work and software creation. Applications that integrate regulatory, fiscal, planning, and staffing are in high demand in the finance sector and other heavily regulated sectors.

Data-driven technology has altered the Human Resources landscape. Data analysts are in high demand in all sectors, yet finding the right 'fit' contains many variables. In addition to core skills, is the person a right fit for the organization? Are they familiar with the platforms used? Do they have experience in our industry and/or is it needed? Will they make our place their home?

Potential candidates want to know how they will fit into an organization? Are their skills in sync with the employers needs? Is the organization's culture congruent with their own? Will they have the right tools for personal success? Will this be a company in which they thrive?

Data analysts are in high demand, allowing candidates more selectivity, while companies struggle to fill much-needed positions. A committed technical staffing team offers unparalleled assistance in employment needs. For the employer, the consultant requires a deep understanding of an organization's vision, culture, and short and long-term needs. For the potential candidate, the consultant invests equally in determining, not only the candidate's professional goal, but also whether a position will be comprehensively fulfilling based on deeper understanding of the candidate's wishes.

Employment solutions are relationship-driven for both employers and candidates, particularly in specialized fields such as data analytics. As an employer, you want a person that will fit within your existing team's need, have diversity to contribute in other ways, and will want to stay with your organization. As a candidate, you want to pursue professional goals, find a work culture that fits, participate in work that excites, and be within a competitive salary range. A staffing specialist does the heavy-work of finding that right fit, but the more successful specialist will also have the future in mind as they work for you. Employment solutions go beyond filling a position. Employment solutions involve an ongoing relationship that gives employers and candidates the opportunity to focus on their business and professional goals while relying on the staffing specialist to stay abreast of the employment landscape for them. More information can be found here.