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HR System Integrations were Failing Users, Until Now

October 16, 2018

Successful businesses are recognizing the inherent value of integrating data and systems. This data has the potential to generate value within their business in multiple ways. It helps make quicker, better-informed decisions, increases revenue, improves customer relations and helps to provide organization within the HR department, ensuring that the proper person is in the right place doing the right thing. And yet, as more data is collected, system integrations have become increasingly more complicated. That is, until now.

How HR System Integrations Have Failed it's Users in the Past

One of the main reasons that systems integrations have fallen short in the past was that many businesses tried to use the standard, pre-configured solutions. Although these can be a great jumping off point, they also lack the flexibility to be customized enough to fit the particular data model of your company. In addition, the pre-fab models lack longevity. Integration amongst systems can be technically complicated because it needs to allocate for future growth and be adaptable especially as different avenues of data and analytics come to play. If systems are not incorporated properly, the data suffers and thus the business.

Another reason that system integrations have provided lackluster results is the very nature of the process. Large multinational enterprises sometimes possess hundreds of different HR systems which cover numerous different functions across several geographical locations. These corporations can sometimes waste millions trying to assimilate systems that are simply incompatible. If these systems fail to properly communicate and operate accordingly, it can confuse the users.

Data Warehouses were originally the go-to method for collecting data. Business analysts depended on the highly-curated data. They were expensive because they used higher cost storage and the schema had to be designed prior to implementation which took time. If you have data that cannot be accessed across all systems, your users are only getting part of the benefits of integrating those systems.

Enter Data Lakes, The Perfect Solution

Data lakes are a centralized archive designed to store all structured and unstructured data at any scale. They are also capable of running several different types of analytics like big data processing, machine learning, SQL queries, real-time analytics as well as visualizations. With a centralized data lake, you can have visibility across systems. 

The data harvested into these data lakes comes from numerous sources like log files, marketing systems, social media and click streams to name a few. This real-time collection of data enables users to import any amount of information data, scale the data to any size and saves the user the time of defining the findings. The lake provides you with the ability to understand where each dataset comes from crawling, cataloging and indexing the information. Also, data lakes help secure and protect this data. With this information, you can run different analytics without having to move your data to a separate system. 

The Inherent Value of Organization

Having the capacity to harness data from more sources and in less time enables users to make better decisions quicker thus, accelerating the collaborative and analytical processes. It also helps HR users find their ideal customer demographics as well as improves their interactions with customers and colleagues alike. Operations become more efficient because of the data being more accessible and quickly harvested in real time.

A successfully integrated HR system will provide process mapping, which gives a big-picture view of the organization clearly showing where there is room for improvement. It will map your data providing rich information on your employees and thus talent data. There will be security with this data visibility. Those who need to see and analyze the data will be capable of such. Likewise, there will be a technological implementation to ensure that the existing technology platforms support the proposed systems. All of this will equate to added value to the business by ensuring the customer data and configurations aline with the workflow while providing a medium for testing, analyzing and coordinating the data with processes.

At SwoopTalent, we have technology that automatically connects all of your talent data and all of the world's talent data to power decisions and analysis across the full talent lifecycle. We can connect all of your systems, all of your data and employ analytics to give you the strongest set of quality data possible. Contact us to enjoy your own personal data lake.


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