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Symptom

  • Create a data-driven culture where better decisions happen faster, and where productivity, customer satisfaction and business goals all thrive. Too often, organizations are not unlocking the full value from their data. That's because it's in departmental silos, not integrated, and inaccessible to those who need it. 
  • Achieving maximum value requires companies to rethink their approach to data. It entails a shift from being business unit focused with data restricted to a single user or department to being enterprise focused that treats data as the most valuable corporate asset. It also requires moving from data silos that duplicate data sets to a reusable approach that stores data once, but uses it many times.  

Cause

  1. These reporting tools can be leveraged throughout the organization. Analytics can refer to a million things, ranging from a simple report to hardcore machine learning.  To make better decisions, you need to be aligned on what people in the room mean when they say “analytics” – otherwise, your implementation plans will go astray.

  2. Reporting is about taking existing information and presenting it in a way that is user friendly and digestible.  This often involves pulling data from different places, like in Google Analytics, or presenting the data in a new way.  Reporting is always defined and specified - it’s about getting reconciliation and making it accurate, because the business depends on the accuracy of those numbers to then make a decision

  3. Analytics is about adding value or creating new data to help inform a decision, whether through an automated process or a manual analysis.  Unlike reporting, analytics is about uncertainty - you use it when you don’t know exactly how to come to a good answer.  This could be because it’s a complicated problem, or because it’s a challenge that isn’t well-defined, or because it’s a situation that changes frequently so the answer you got yesterday is unlikely to help you today.

Fix

Analysis: 

Instant Checkup ​​​​​​

You'll gain immediate insight into the performance of your Agents in live time. What’s happened in the past should be well-understood and measured within your business, meaning the job becomes actually digging down in to why it happened – something that can be easily arranged internally

Planning 

Use this feature to plan your agent deployments. In order to do a good job of predictive analytics, on the other hand, you need a lot more experience around handling assumptions and uncertainties, which third party analytics experts are bound to have a lot of

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