Why leading companies are hiring Data Translators
IBM and Silicon Angle ask Can a ‘data translator’ break silence between IT and the C-suite? A new role that goes beyond algorithms and whips together hard data know-how with business intuition is opening at enterprises. This really important skillset is the data translator.
Diverse translator teams synthesize complex, analytics-derived insights into actionable business recommendations. You Don’t Have to Be a Data Scientist to Fill This Must-Have Analytics Role. Nicolaus Henke et al. in Harvard Business Review, 5-Feb-2018. Requires domain knowledge and presentation skills, plus technical or STEM understanding.
Why Your Company Needs Data Translators. Chris Brady et al. in MITSloan Management Review, Winter 2017. Often we see a disconnect between data scientists and business executives. It’s time for a new role: the data translator closes the ‘interpretation gap’ between quants and decision makers.
Bernard Marr asks Forget Data Scientists And Hire A Data Translator Instead? Employers are looking for people to fulfill this role. “Data translators can help guide the conversation about using data to inform decisions and point out biases that result by an overreliance or underutilisation of data.”
In praise of “light quants” and “analytical translators”. Tom Davenport finds that “almost every organization would be more successful with analytics and big data if it employed some of these folks…. A ‘light quant’ is someone who knows something about analytical and data management methods, and who also knows a lot about specific business problems. The value of the role comes, of course, from connecting the two.”
Data Translators: Those Who Ensure Analysis Is Not Lost In Rendition, by Hemant Warudkar. “Data translators are now seen as the new conduit between data analysts and the key decision makers within an organization. Call them ‘gap fillers’. Sometimes, a profession is born because of the needs of the market; data translator is one such.”
The Age of Analytics: Competing in a Data-Driven World. McKinsey Global Institute, Dec 2016. The translator is the “link between analytical talent and practical applications to business questions…. We estimate… demand for approximately 2 million to 4 million business translators in the U.S. alone….”
“Analytics teams must step outside of their functional silos. They need to start looking at the business more holistically and connect the dots…. They need to evolve from data providers into insight integrators.” The Translation Layer: The Role of Analytic Talent. Lori C. Bieda (formerly Executive Lead of Customer Intelligence at SAS).
Your Analytics Team Needs a Liberal Arts Major describes how a diverse team helps promote quality and discourage cognitive bias. “Liberal arts skills are needed at every level of data science, from storytelling and communication of insights through to the training and interpreting of the most advanced machine learning applications in your business.”
Communicating insights to decision makers
Data is Easy, Deciding is Hard. Tracy Allison Altman explains why subject matter experts struggle to communicate effectively with executive decision makers, and how to improve the process by focusing on specific questions and the insights that answer those questions.
Big Data for Boundary Spanners course at the Analytics Academy (Amsterdam). Topics include determining and defining business questions for data science.
Data Storytelling: The Essential Data Science Skill Everyone Needs. Brent Dykes explains that “Data storytelling is a structured approach for communicating data insights, and it involves a combination of three key elements: data, visuals, and narrative.”
The Talent Dividend: Analytics talent is driving competitive advantage at data-oriented companies. Sam Ransbotham, David Kiron and Pamela Kirk Prentice in MITSloan Management Review, 2015.
Gartner says a time-oriented narrative arc relates directly to the priorities of decision makers. Use Data and Analytics to Tell a Story.
Analytics in Action: Breakthroughs and Barriers on the Journey to ROI. Accenture study reveals the urgent need to translate data-driven insights into actions and outcomes.
Companies stumble over talent acquisition barriers, internal leadership difficulties, and… the rigidity of overregulated corporate culture. Machine Learning: Bridging Between Business and Data Science. White paper by Altexsoft.
Becoming an Analytics Translator. Raef Lawson in Strategic Finance. “Finance professionals must learn to communicate with data scientists and technology specialists, helping them ask the right questions and translate data into business insights.”
The Power of People: Learn How Successful Organizations Use Workforce Analytics To Improve Business Performance. Nigel Guenole, Jonathan Ferrar, Sheri Feinzig. Data translators turn the technical outcomes from analytics projects into insights that business leaders can understand and act upon.
Why Your Business Needs Data Translators explains how data hubris and biased judgment interfere with top performance, and how data translators can solve this problem.