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Data refers to all internal and external digital information available on the web.

A valuable source of market insights, it is essential for managing a business and developing its offerings.

Overview and Responsibilities of the Big Data Consultant

A big data consultant, also known as a data value consultant, provides consulting services to companies. These may include organizations that have never taken any action regarding their data, or companies looking to refine their strategy.

The big data consultant begins by collecting and sorting all available data, then moves on to the analysis phase while supplementing the company’s data with external open data.

Through in-depth research, they identify relevant information regarding market trends, customer behavior, competitors, or the company’s value chain. This enables them to make recommendations: business strategies, the development of a service, product, or offering, the acquisition of new tools (internal and/or external) to improve existing operations and capture new market segments and target audiences, or to optimize the management of the company’s operations.

The data value consultant then coordinates the implementation of the data project by bringing together all relevant stakeholders. After gathering input on everyone’s needs and constraints and taking the existing IT system into account, the consultant provides recommendations on objectives, organization, planning, technical tools, methods, budget, coordination, and more.

Business implications

Whether in manufacturing or services, data is an indispensable source of information for improving offerings, products, and operations. For example, it can be used to develop new marketing campaigns, validate the launch of a product or service, and plan the company’s future growth strategies.

Banking, insurance, transportation, e-commerce, energy, hospitality, healthcare, institutions, medical, chemicals… A big data consultant’s expertise can be tailored to any industry. In every company, data analysis offers promising avenues for growth.

Ethical implications
Big data and its processing raise ethical and legal questions. The storage and use of data are now regulated. A big data consultant knows how to work within an ethical framework. However, they may consult with legal experts in artificial intelligence and ethics officers when certain issues are too specialized.
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Key skills

The data value consultant’s primary skill lies in business intelligence. Their attention to detail, focus, and sharp analytical skills are their professional strengths.

He has strong technical expertise in system architecture, networking, CRM, databases (NoSQL), and statistics.

Data-related technologies are his specialty: Hadoop, Pig, Hive, Spark, Yarn, Cloudera… The big data consultant understands the industry in which he works, the company’s operations, its challenges, and its limitations. They quickly grasp the subject matter to formulate the best recommendations. They are skilled at leading meetings and managing projects. They possess strong interpersonal and organizational skills. Their commitment brings people together. Self-reliant and curious, they work while keeping the company’s constraints and growth opportunities in mind. Their approach is always focused on market growth.

An equally skilled communicator both verbally and in writing, he is able to draft regular reports and select appropriate methods. Staying abreast of technological developments is second nature to him. English is required for certain positions.

Trends and factors driving change

Data managers work as freelancers, for IT services firms, or for companies specializing in data. After gaining a few years of experience, they can aim for more ambitious projects or larger companies. A position as director of digital systems (or IT) is one of the potential career paths available to them.

An economic asset, a competitive advantage, and a driver of performance, data is becoming increasingly abundant, and leveraging it is now essential.

Big data consultants provide companies with in-depth analysis of big data to extract actionable insights for business purposes. Data is the goldmine of the digital age!