Scaling up your business through data automation

Data automation allows you to fully utilize already available resources to get accelerated results and increase the value of your business. There is no reason you shouldn’t employ data automation in your business process. Do it right, do it now, and watch your business scale up.

Data automation

Data automation is the use of intelligent processes, software, a variety of equipment, or systems for collecting, processing, or storing data. It describes a process of replacing manual work with machines and software, including the application of artificial intelligence.

For your business, data automation allows you to fully utilize already available resources to get accelerated results and increase the value of your business by realizing the hidden potential of your products or services.

Enhanced cost-efficiency and consistency 

Data automation can lead to major cost reductions, since you’ll need less manual labor to take care of data handling tasks. According to research by the Gartner Group, almost 85 percent of big data projects are predicted to fail. Big Data automation allows data to be analyzed and understood many times faster and more effectively, and in extreme cases, it allows handling the data that before could not be analyzed manually. This, in turn, leads to more quality insights and opportunities to scale. The more you adopt automation in the initial stages of data collection, storage, and processing, the fewer resources you’ll need in the long run for ensuring and maintaining high-level data quality.

No one is immune to basic human error, especially when dealing with data-intensive processes. One of the best ways to handle these processes in a more efficient and less error-prone manner is to employ data automation. Data automation helps you to maintain consistency, since processes will no longer heavily depend on human involvement.

Improved operational speed and competence

Markets are changing at a rapid pace and competition in every field grows as boundaries are replaced with interconnections. Operating based on data insights is crucial to becoming an industry leader delivering high-quality customer-centered services. Time is of the essence and is a great factor in the sustainability, growth, and development of any business. 

Manual data handling takes significantly more time than its automated equivalent. Major time loss happens during the decision making process in the initial stages of source data standards definition. 

Before the introduction of data automation, most decisions were driven by professional judgment in combination with supporting manual calculations of data. All work – data source collection, extraction, cleaning, analysis, and storage, was performed manually. Manually maintaining large-scale decentralized data is extremely costly, error-prone, and time-consuming. This is why data automation is crucial for your business to operate at its highest efficiency. 

Don’t waste the talent and potential of your data scientists

Data scientists spend about 80 percent of their time on data preparation and cleaning. However, a large number of data handling processes do not require human intelligence, since they mostly consist of routine and recurring tasks. Data automation is a great solution for these processes. It allows your data scientist to focus on tasks that engage and require their deep competencies and creativity, as opposed to getting involved in time-consuming tasks of basic level data analysis. 

Data automation allows your business to focus the newly available resources on more important tasks, investments, and innovation, bringing more value to your business. Data automation frees up time for things that matter most for your business, such as deep and sophisticated analysis and freedom for your employees to experiment and better existing products or solutions to exceed customer expectations.

There is no limit to the potential of data automation. Data automation is helping businesses optimize their processes and discover new business potential. It is important to set up a good data automation strategy. If needed, engage the help of an experienced partner. There is no reason you shouldn’t employ data automation in your business process. Do it right, do it now, and watch your business scale up.


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