Happiness Survey – Where efficiency leads to effectiveness

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How many of us have really wondered what drives the altitude of an organization? The question could be addressed through various perspectives. For some, it may be market penetration, process efficiency, cash flow cycle, meeting targets, brand image, employee count or company size. Measuring company success on these methodologies are true with an assumption that […]

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Customer Services Assessment as a part of the BPO Services

Customer Services Assessment as a part of the BPO Services

The PMaps CSA or the PMaps Customer Service Assessment is actually based upon of three important modules: Core or the Service, The Sales and The Collections. Every particular module has a very much well structured set of questions which are designed to assess every kind of job-related skills and abilities.  The main purpose of these […]

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Varied Employees and Various Motivators

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  Be it Hertzberg’s motivation-hygiene theory or Maslow’s hierarchy of needs, numerous theories suggest that success & happiness both are governed by whether your individual motivators are being met or not, and that’s not always all about money. We all have our distinct blend of motivators and for leaders to better engage the team to […]

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Chatter Bots: A Brief History

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“Hey Siri, how is the weather going to be?” “I think it’s going to rain today.” In this first part of a multipart series, we will try to understand how the ChatterBots started to come to being. When Apple released iPhone 4s in 2011, everybody was made to focus on one feature, Siri. A little […]

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Predictive Analysis – Employee Performance

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Many companies face the challenge of employee productivity. A downfall in productivity depends on various factors like poor work performance, attrition, job dis-satisfaction, etc. In order to tackle/improve the employee productivity, companies are taking a deep dive into various tools for trying to predict employees’ credibility with the company.

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Artificial Neural Networks: A new gateway in the world of predictive analytics

From the past few years, the need for automation is increasing. This may be due to a growing demand of building reliable and efficient systems to scrutinize an enormous amount of data. The field of machine learning utterly caters to such demands. The history of machine learning can be traced back to the mid-twentieth century wherein it was developed as an integral part of Artificial Intelligence. It basically relies largely on computational statistical theory.

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