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Master Data Management Gets a Productivity Boost with Data-Driven Workflows

Discover how data-driven workflows are transforming master data management and increasing productivity. Read our article for insights and best practices.

The average employee is only productive for two hours and 53 minutes per day, accounting for only 31% of the average eight-hour workday. This lack of productivity is due to various factors, including stress, context switching, and digital distractions like social media. Additionally, the overwhelming number of daily tasks and data heaps employees must manage and transform can hinder their efficiency. 

Manual data processing should be a thing of the past, as are the data silos that have kept teams isolated in their workflows. No matter your industry, it is crucial to implement technologies that empower your team to stay productive. Master data management is critical to dismantling the cumbersome business processes of the past, allowing business teams to make data-driven decisions at a rapid pace. 

Further increasing productivity, data automation can enable rapid analysis, reduce costs, and improve the customer experience by transforming customer data into valuable insights. McKinsey reports that “prioritizing automation has become even more important to enable success” for companies, and those who find the highest return focus on how this technology can benefit their employees. 

While 70% of organizations are at least piloting automation technologies in one or more business units or functions, newer technologies are hitting the market to continue boosting productivity rates. My company, Semarchy, has just rolled out data-driven workflows, our latest integration to the xDM platform. These workflows leverage metadata to turn a company’s raw data into high-quality golden records that leaders can use in any business context. This integration is a game-changer for eliminating organizational silos, optimizing operations, and fostering an environment for collaboration. 

Data-driven workflows will take teams one step further in improving their productivity in 2023. Here’s why companies in all sectors should adopt this integration into their operations. 

Data-driven workflows boost employee productivity by streamlining business functions through a unified platform. 

When I think of what a successful workflow should look like, the image of an assembly line comes to mind. As each team completes its part of the puzzle, they accelerate the process to the next team. Each team plays a clear part in this cross-functional process to achieve the company’s end goal. Knowing the specifics of how each team contributes to the end goal gives everyone a basis for understanding.

Data-driven workflows allow business teams to accelerate organizational alignment by unifying each employee’s tasks into a single, no-code solution. This technology can dynamically route, assign, and automate tasks by leveraging powerful metadata to increase user efficiency. In addition, by allowing teams to see each business process from beginning to end, organizational silos that halt efficiency are dismantled, creating visibility through a holistic lens. 

Workflow integrations reduce costs and rapidly deliver business value.

According to Tech Crunch, the average data scientist “spends 80% of their time at work cleaning up messy data as opposed to doing actual analysis or generating insights.” With workflow integrations, companies can reduce technical resourcing, deployment time, and other labor-intensive data operations, so data scientists can get back to what they do best: Analyzing existing data and using it to build a solid data infrastructure. With the right data infrastructure, businesses can generate insights that help them make product improvements, get products to market more quickly, and improve customer experience and retention. 

Using data-driven workflows to generate these insights has resounding financial benefits. By cutting time-consuming manual processes, companies can reduce development costs and realize administrative and overhead savings. These can include IT and data storage costs that would otherwise accumulate due to disparate data tools and solutions. 

Fostering a collaborative data foundation elevates enterprise agility. 

In a post-pandemic world, collaborative data tools are used now more than ever. Gartner reveals a 44% increase in workers’ use of digital collaboration tools due to the rise of remote and hybrid workforce models. Data-driven workflows allow organizations to foster a collaborative data foundation that helps all employees work synergistically with one another—no matter where they are in the world. 

Creating a collaborative data foundation elevates enterprise agility, which can accelerate data-driven decision-making. It can also help teams adapt to change and develop innovative strategies on the spot. With the right data infrastructure and workflows in place, employees will feel empowered to work together and achieve shared objectives.

It’s time for executives to take the next step in their digital transformation initiatives. Data-driven workflows are the best solution for boosting productivity and morale with your employees tenfold.

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