We work at every level of Market Research, Data, analytics and insights making sure every match we make meets the needs of both candidates and clients.
Quantitative and Qualitative Market Research
In brief, quantitative market research refers to the process of collecting large amounts of data through surveys, questionnaires, and polling methods. Conversely, qualitative market research involves determining customer motivation through close observation –– typically in a small group or face-to-face encounter.
Marketing Intelligence
Marketing intelligence is the everyday information relevant to a company’s markets, gathered and analyzed specifically for the purpose of accurate and confident decision-making in determining market opportunity, market penetration strategy, and market development metrics. It is data that is relevant to the marketing efforts of an organization. ... While marketing intelligence is used to assist a number of different marketing goals, at a high level, it's used to inform decisions regarding competitors, products and consumer trends or behaviors.
Big Data
Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Current usage of the term big data tends to refer to the use of predictive analytics, user behaviour analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set.
Data Engineering
Data engineering includes what other companies might refer to as Data infrastructure or Data architecture. The data engineer gathers and collects the data, stores it and does batch processing or real time processing on it. This data is than being served via an API to a data scientist who can easily query it.
Business Intelligence
Business intelligence (BI) refers to the procedural and technical infrastructure that collects, stores, and analyzes the data produced by a company’s activities. BI is a broad term that encompasses data mining, process analysis, performance bench marking, and descriptive analytics. BI parses all the data generated by a business and presents easy-to-digest reports, performance measures, and trends that inform management decisions.
Data Management
Data management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization. Effective data management is a crucial piece of deploying the IT systems that run business applications and provide analytical information to help drive operational decision-making and strategic planning by corporate executives, business managers and other end users.
Data Analytics
Data management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization. Effective data management is a crucial piece of deploying the IT systems that run business applications and provide analytical information to help drive operational decision-making and strategic planning by corporate executives, business managers and other end users.
Data Science
Data science continues to evolve as one of the most promising and in-demand career paths for skilled professionals. Today, successful data professionals understand that they must advance past the traditional skills of analyzing large amounts of data, data mining, and programming skills. In order to uncover useful intelligence for their organizations, data scientists must master the full spectrum of the data science life cycle and possess a level of flexibility and understanding to maximize returns at each phase of the process.
Statistics
Statistics is the discipline that concerns the collection, organization, displaying, analysis, interpretation and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population or a statistical model to be studied.
Consumer insights
By definition, consumer insights are thoughts, opinions, and experiences shared by people and interpreted by a business to gain a better understanding of how their customers think and feel. These insights come in many forms, including: Online reviews. Customer surveys. Social media comments.