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Topics: augmented analytics, business analytics, artificial intelligence, AI, data, analytics, innovation, business intelligence, machine learning, business objectives, customer experience, talent management, board of directors
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Topics: augmented analytics, business analytics, artificial intelligence, AI, data, analytics, innovation, business intelligence, machine learning, business objectives, customer experience, talent management
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Topics: augmented analytics, business analytics, artificial intelligence, AI, data, analytics, innovation, business intelligence, machine learning, business objectives, customer experience, talent management, productivity and employee engagement, employee engagement
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Topics: augmented analytics, business analytics, artificial intelligence, AI, data, analytics, innovation, board of directors, business intelligence, machine learning
Data access for everyone in the organization - Are you crazy?
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Topics: augmented analytics, machine learning, business analytics, artificial intelligence, augmented data, business intelligence
Has your organization explored the principles of augmented analytics? As data increasingly becomes available to users across organizations, now’s the time to become fluent.
Analytics, it seems, are everywhere. Many companies may find the flood of analytics as overwhelming as the flood of data that preceded it. But if your organization wants to make sense of all that data and make the most of opportunities in strategy, operations and people, it needs to understand how augmented analytics can enhance its business.
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Topics: augmented analytics, machine learning, business analytics, artificial intelligence, augmented data
Problems in business are not uncommon. This is usually because as the business grows, it changes, and external factors also change. However, proper definition of problems will mean that they become easier to solve. Augmented analytics has a huge role to play in solving business issues. Mainly because data shows everything and as such, problematic areas are easier to identify, rectify and monitor. According to HISCOX, Forbes, and the Lean Methods Group.
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Topics: augmented analytics, setting goals, business analytics, managing performance, machine learning, enterprise performance management
It has always been said that information is power, and this has never been truer than it is today. In today’s business eco-system, data and information are vital to business management and administration. However, the nature of data is ever fluid and changing. As a result, a lot of data exists for analysis presently. Properly applied, this data can take enterprises to whole new levels. To deal with this, data scientists came up with Augmented Analytics.
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Topics: augmented analytics, machine learning, kpi dashboard
Over the course of the past 20 years, we have seen a steady shift of our workforce towards the Millennials and GenZ’ers. There are some very clear and distinct characteristics of the modern workforce that differ from the aging workforce, that are not being leveraged today. When effectively understood, they have a clear and immediate impact on Enterprise Performance, which ultimately leads to sustainable economic benefits for their shareholders.
Millennials and GenZ’ers have one significant thing in common that differs from prior workforce generations, they have grown up having been apart of the digital world. In the case of Millennials, entering the digital world was more of a right of passage than for GenZ, who are being given mobile devices at earlier ages as time goes on.
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Topics: millennials, performance converstaions, performance visibility, artificial intelligence, machine learning, AI, employee performance
