In today’s world, data is a crucial resource for any company aiming to be competitive, efficient, and innovative. Data helps us better understand our customers, market, products, processes, and performance. It also enables us to create new opportunities, improve service quality, and reduce costs.

However, data alone is not enough. We also need to properly process, analyze, interpret, and utilize it. And this is not an easy task. Data is often dispersed, inconsistent, incomplete, outdated, or of poor quality.

This is where data automation comes into play. Data automation is a process that leverages artificial intelligence, machine learning, robotic process automation, and other advanced technologies to automate and optimize the entire data lifecycle.

Data automation allows us to:

• Acquire data from various sources such as websites, social media, sensors, documents, emails, databases, applications, etc.
• Store data in secure, scalable, and flexible cloud or local storage solutions.
• Clean data from errors, duplicates, invalid or missing values, unwanted characters, etc.
• Integrate data from different sources, formats, and structures into a unified and comprehensible whole.
• Transform data into the desired forms, such as tables, charts, maps, reports, dashboards, indicators, etc.
• Analyze data using statistical, mathematical, predictive, prescriptive, or cognitive methods to extract useful information, knowledge, and decisions.
• Interpret data using natural language, voice, gestures, emotions, or other human factors for better understanding of content, context, and meaning.
• Utilize data to improve business processes, activities, products, services, customer satisfaction, competitive advantage, market position, financial results, etc.