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Artificial intelligence as a core business function is vital for driving business efficiency in a time when agile business solutions are necessary to maintain a competitive advantage amid widespread technological innovation. The adoption of AI tools is relatively new for various business leaders. However, they are gradually learning how to implement artificial intelligence, examining opportunities, determining data needs, and learning the best practices for implementation to realize strong business value, increasingly dipping into a software market that’s expected to topple $62 billion by 2022.

Artificial intelligence processes can analyze mass data faster than the human brain. To implement digital solutions and improve business efficiency, organizations need to step out from the back end, from chief information officers (CIOs) to chief technology officers/chief digital officers (CTOs/CDOs). Introducing inside-out leadership can revitalize core business functions by putting data to favorable use. Data translators and the increased usage of data technology prove to be critical investments for organizations spanning various sectors.

What is a Data Translator?

AI is seen as a labor productivity enhancer facilitated through technology leadership, with statistics showing that AI tools will boost productivity by 40% over the next 15 years. To drive productivity while improving organizational efficiency and output, companies need to invest in data translators to ease the business transition from back-end to front-end.

Data translators help businesses extract the most value from their services, ensuring that data is correctly and adequately analyzed and then communicated to the necessary people. Data translators improve data literacy, getting maximum value from analytics initiatives and making an organization completely data-driven to make business functions seamless. Data translation solves the disconnect between chief decision-makers and marketing analysts, helping them evaluate and utilize big data to improve business processes. Decision-makers and marketing executives can understand how data works through data translation. Additionally, data translation reduces tension, satisfying data analysts who may feel their insights are being overlooked and easing the fears of marketing leaders who aren’t familiar with the data and what it means.

With more organizations implementing artificial intelligence tools and machine learning and modeling, there is more risk that insights and essential data will be lost during the translation process. Data translators successfully bridge the gap between executives and data specialists/technology experts, setting realistic priorities for data-based programs and presenting data points to non-experts so they can interpret them successfully. Furthermore, data analysis can be thoroughly conducted with achievable, actionable, and measurable goals in mind at all times.

Data Translators are Multi-Faceted, Assuming Various Roles

Data translators make life easier for business and technology functions
Data translators wear many hats when working in organizations, taking the pressure off business and technology functions to deliver consistent results.

Data translators can transition into a variety of key organizational roles including:

• Project manager
• Liaisons
• Business advisors

They engage in the above roles to smoothen business relationships while aiding leadership development, making the lives of CIOs, CTOs and CDOs much easier. Data translators present data insights and business goals that allow businesses to maximize their return on investment (ROI). They build the business case to identify key issues, develop the project plan that best meets organizational objectives, execute the project and measure all outcomes before comparing said outcomes against the original project criteria.

Data translators are most effective in organizations when they act as change agents. They boost efficiencies and integrate model revenue-generating ideologies. They also are the role model for business users once a project has been implemented. They ease adopting transformational business processes while promoting a data-driven culture that generates buy-in from leadership downwards.

Why Do Data Translators Matter for Organizations?

Staffing-as-a-service focuses on optimizing digital staffing options that solve problems, make better use of resources, and improve organizational maintenance.

Robotic process automation reduces costs, automating tasks that save up to 30% in costs for businesses, allowing them to be more resourceful and have more time to fulfill tasks. Furthermore, it reduces workloads from the top-down, automating work like making financial reports and calculating. Business leaders will see more value in technology that reduces time and helps their employees to focus on more valuable tasks. Leaders can also scale their business operations up or down depending on their business objectives. And, there is a minor operational risk while the work stays in-house rather than re-appropriating tasks to third parties.

Another key strategic advantage that staffing-as-a-service provides is that it optimizes data management. Data deletion services typically accompany staffing-as-a-service, with data deleted correctly to avoid any legal issues and ensure business leaders have only important, updated information available to them when they need it.

Improving Organizational Capabilities and Teamwork

Organizations see the purpose of having data translators onboard because translators can successfully navigate data hubris. Every CIO, CEO, CTO or CDO has faced some sort of data hubris, a term that assumes significant data isn’t supplemental to data collected for traditional analysis. Instead, the assumption is that the significant data is a substitute. A data translator comes in and aligns key variables and numbers to formulate holistic opinions that analyze data from newfound perspectives.

Additionally, data translators address and eliminate biases that decision-makers and data analysts develop over time, regardless of the facts and extensive research they have been exposed to. Biases can water down data-driven decisions because decision-makers and analysts believe their perception of the available data is the correct perception. Data translators allow for leaders and data specialists to do some necessary self-reflection and see the most value in the data being analyzed.

It is because of data translators’ ability to see the bigger picture that the demand for data translators is expected to skyrocket by 2026, to between two and four million. Organizations are creating academies to train data translators as there isn’t enough talent currently to meet the demand.

Implement quality artificial intelligence tools in your organization and start reaping the productivity and financial benefits from using them for your business functions.

Contact the experts at Aviskaran today for more information on our wide-ranging, modernized services to help you attain the professional growth you deserve!

Written By:
Aviskaran team
Content Writer, Aviskaran Technologies