As the volume, variety, and types of data that businesses collect and analyze grows exponentially, so too has the need for an easier way to manage it all. In a world where data is at the heart of most processes within an organization, finding better and quicker ways to collect, clean, aggregate, and align data is critical to ensuring accurate outcomes downstream. In fact, data and data management – if it’s not done effectively – can actually act as impediments to businesses implementing innovations like AI and machine learning that could enhance their operations. Breaking down the barrier of poor data management is where intelligent data pipelines come in.
What Are Data Pipelines?
At their core, data pipelines use one or more software technologies to unify, manage, and visualize the flow of structured business data. This process is usually done strategically, with the goal of improving the overall efficiency of a business. A data pipeline can run in a few different ways, including on a scheduled basis, in an ad hoc or real time manner, or it can be triggered by a set of rules or conditions that are put into place. An effective data pipeline strategy can help businesses both accelerate and automate their processes related to the gathering, changing, cleaning, and moving data to downstream systems and applications.
Additionally, as more businesses implement machine learning and AI technologies, data pipelines will become more intelligent. Adding elements such as logic and algorithms can create an intelligent data pipeline which can support unique requirements for a specific system or application. When feeding your raw data into a decision intelligence platform like Gemini, an intelligent data pipeline is an important tool in more easily collecting and gathering data.
How Can Data Pipelines Help Your Business?
The benefits of data pipelines are varied and can affect a business from sales to marketing to production. Since a data pipeline can automate and accelerate processes such as data acquisition, transformation, and movement, pipelines can boost sales, improve productivity, and accelerate digital transformation initiatives. For example, an intelligent data pipeline in the healthcare industry could analyze the grouping of health care diagnosis-related groups codes – a system that helps better control hospital costs and determine payor reimbursement rates – to ensure consistency and completeness of those submissions as well as detect fraud as data is moved along the pipeline.
Additionally, as more companies adopt automated machine learning and artificial intelligence solutions, many more tasks will be handled by intelligent programs called AutoML. To handle these new, automated tasks, companies will need advanced data enrichment and transformation modules to handle data from various sources like satellite imagery and credit card purchases, as well as neural network and machine learning algorithms to process that data. Intelligent data pipelines can help manage all of those needs.
Conclusion
Many business leaders are being asked to unleash the business value of their data and apply those insights to drive quantifiable financial impact. As data needs evolve and become more complex and challenging, intelligent data pipelines will be a critical tool in keeping up and helping leaders better leverage their data insights. Data pipelines can benefit businesses by accelerating and automating processes, resulting in better decision making, increased revenues, and more.
Gemini was founded with the mission to enable our customers to quickly grasp complex data relationships and effectively mold data into stories. We help businesses solve their biggest data challenges and go from data to insights in no time.
