Jyoti Nigania

Hi,i am writing blogs for our platform House of Bots on Artificial Intelligence, Machine Learning, Chatbots, Automation etc after completing my MBA degree. ...

Hi,i am writing blogs for our platform House of Bots on Artificial Intelligence, Machine Learning, Chatbots, Automation etc after completing my MBA degree.

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yesterday

Role of Big Data in E-Commerce
2 days ago

The Big Fashion Retailer H&M is Leveraging AI and Big Data
2 days ago

Is Really Big Data Changing the Business Scenario?
5 days ago

How the Data is Collected and Used by the Retailers?
5 days ago

Scope of AI and Machine learning in India
26616 views

Skills Required To Become Data Scientists
13977 views

How to Learn Mathematics for Machine Learning?
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Difference between Artificial Intelligence, Machine Learning and Deep Learning
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Big Data: Improving Employee Engagement in Real-Time

Jun 8, 2018 | 1524 Views

Real-time data and analytics are now entering in the field of HR as well. Big data sets are the collections of both sets of structured and unstructured information. However, the command of big data doesn't lies in its size, but lies in that how organizations make use of the resource. Big data comes from many sources and delivers organizations with deep and meaningful insights into consumer and client characteristics as well as internal enterprise performance.

Generating the reports that provide actionable information, organizations evaluate big data using powerful analytic programs, often in real-time. Enterprises further use these reports that are generated by big data software for many events, such as making mission-critical decisions, researching and developing new products and services and streamlining operations.

This event highlights the significance of enterprise-wide employee engagement. Organizations with huge level of employee engagement are more expected to implement change initiatives successfully. Following points should be considered that how big data technology can improve the employee engagement.

Numbers that motivate:
To advance employee engagement, organizational leaders should adopt a strategy of making decisions based on realistic evidence caused by big data analysis. Executives promote an organizational culture where all employees and business unit leaders participate in making data-driven decisions.

Big data originates from various sources, so it's very necessary that organizational leaders limit the scope of queries to focused areas of benefits. After that information technology (IT) department makes the final report and get the findings from the executives and finally they share the report with stakeholders. Organizational leaders must train and evaluate employees in effective manner. An effective data-driven culture involves control for gathering and storing information. 

Performance analytics:
Big data analytics supports employees to predict the relation between their routine and organizational goals, to give the optimum outcome. The technology only provides the relevant data to the employees. Big data technology allows managers to create personalized career development plans for each employee. In a data-driven enterprise, every action is accomplished by an employee who generates logs that organizational leaders use to review and compare to desired performance goals. Big data analysis permits the department heads to get the insights about the employee's capabilities that can serve the organization. It also allows managers to share performance outcomes and departmental benchmarks with employees and use that information to help them see the value of their personal career development goals.

Self-directed career development:
It's obvious that all the employees want to advance their careers opportunities. Employees can take the benefit by using big data. Organizational leaders apply big data tracking tools and grant employees to check their performance. This saves workers and employers from stress of micromanagement and they are highly focused towards their goals. 

The self-directed resource permits organizational leaders to allow workers with the ability to control the quality of their work. In this kind of environment, employees also participate in making important decisions, such as when they work, how they complete assigned tasks and what work takes top priority. Organizations that provide this type of empowerment will obviously enjoy the maximum levels of employee engagement.

Career growth tracking:
Career growth tracking is beneficial resource for employees and workers. This helps the members to strengthen their weakness. Any kind of training definitely enhances the various skills of the employees which help in career growth. Employees can select specific areas for professional improvement and track their personal performance, feedback which motivates employees to work more effectively. Finally, growth tracking tools significantly increase workplace engagement by giving employees improved control over their career progress.

Hence, big data improves the employee engagement in real time within the organization by focusing on different parameters as explained above. And these parameters also help employees to improve their professional career and all these practices have positive relation with the organization because the organizations goals can also be achieved effectively. 

Source: HOB
Jyoti Nigania

Hi,i am writing blogs for our platform House of Bots on Artificial Intelligence, Machine Learning, Chatbots, Automation etc after completing my MBA degree. ...

Full Bio 

Hi,i am writing blogs for our platform House of Bots on Artificial Intelligence, Machine Learning, Chatbots, Automation etc after completing my MBA degree.

Understanding the Past or History of AI
yesterday

Role of Big Data in E-Commerce
2 days ago

The Big Fashion Retailer H&M is Leveraging AI and Big Data
2 days ago

Is Really Big Data Changing the Business Scenario?
5 days ago

How the Data is Collected and Used by the Retailers?
5 days ago

Scope of AI and Machine learning in India
26616 views

Skills Required To Become Data Scientists
13977 views

How to Learn Mathematics for Machine Learning?
12024 views

Difference between Artificial Intelligence, Machine Learning and Deep Learning
9927 views

Differentiating between Data Science, Big Data and Data Analytics
8598 views