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what is a data connectors?

Author: Heather
Mar. 18, 2021
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A data connector is a process that moves data from one database to another. Often these processes allow for data to be filtered and transformed into the proper format or structure for querying and analysis. We build data connectors to simplify your life and allow you to focus on your application.

 

Take advantage of our fast and easy-to-use data connectors


Connectors enable you to connect all of your organization's data sources in one centralized place. With simple all-in-one data integration, non-technical users can enjoy the possibility to quickly access all information from a variety of data connections for analysis. Databases, flat files, social media data, APIs, CRM and ERP data and other platforms can all be connected to our data warehouse and you can manage them as you wish: merge, update, add, edit ...... It's all under your control.

 

Nothing is easier than connecting your data to the platform with custom data connectors. The end-to-end solution will avoid the complicated tasks of preparing data and setting up complex ETL processes. With just a few clicks, you can plug in your various external and internal sources, high-speed and secure data warehouse. From cloud-based sources to spreadsheets to databases, mix and match data connections to build the right analysis and decipher the answers you need.

 

In today's business world, agility is key - being able to react to any changes that occur in a timely manner is a necessity. Consolidating your information in a single point of access through modern data connectors will give you the flexibility you need and help you gain a lot of time - far from a luxury in our current fast-paced, immediacy-driven business environment. In fact, you no longer need to manually update any files because our software will do it for you automatically.

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Why is data cable connector integration important?


We live in a data-driven world where the vast number of channels scattered across departments and disparate systems leads to a challenging environment to collect, analyze, share and make intelligent business decisions for sustainability and profitability. That said, data silos are one of the most common problems faced by enterprises - an enterprise uses an average of up to 13 different application systems, leading to fragmented communication between departments, resulting in poor information exchange and disruption of systems and processes, leading to an inability to adequately meet business objectives and customer needs. Creating a centralized approach to data in business operations and strategy continues to be a challenge.

Data connectors enable you to combine various data sources into one integrated space. A company, whether large or small, typically implements different data analytics practices that are fragmented and not sufficiently interconnected. Data connector integration can easily provide a solution that transforms data into meaningful information and provides the building blocks for generating valuable insights. A segmented approach to data management will no longer create analytical chaos, but rather a holistic overview that can break down data silos, miscommunication, and quality of insight. To optimize the flow of information needed to seamlessly operate the data management process, data connectors will facilitate the development of a successful data story. Collecting data is no longer important, but knowing how to leverage and manage it is becoming one of the major business concerns in today's world.

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The growing need for data integration across departments


The collection of useless information, which is growing in the organization, is hurting the business by making it unaware of the amount of cost and performance shortfalls faced by various departments. The false sense of making insightful decisions affects business mechanisms - duplicate, conflicting and outdated data creates an inadequate environment for businesses to thrive in our big data world. Whether it's HR, finance or sales, all of these departments need synchronized and automated processes that can put valuable information under one data umbrella.

For example, HR can use data integration to bring the application, onboarding, and onboarding processes all under one automated process. Filling out endless paperwork, briefing employees on company procedures, incident reports or specific tasks - it can take up to eight months to have a fully competent employee. The completion of incident reports can be automatically linked to additional safety training to prevent future occurrences, and the data featured in these reports can provide additional insight into employee history that can be used to identify the exact links to targeted programs that require additional prevention (safety programs can then be automatically updated).

That said, using the ability to link all of this data into a single bird's eye view, in this example, HR can automate these processes and collect them into a single data story, which is a key element needed for a successful business campaign.

 


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