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Collected Information for analyzing...example: Rollout progress

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Data is information. For example, My name, age, height, occupation are all data.

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Data are attributes of an event

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Cost Efficiency

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Data is any unorganized information. Everything being collected right now with our answers is a form of data.

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Facts & figures. E.g. MAU of My Robi App

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Data-are explored thru analysis for taking a decision.
Sales trend/

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count of occurrence of a specific field of interest

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No of site, no of rollout etc.

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Set of information containing hypithetical lead.

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Information, number

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Data is a set of quantitative and/or qualitative information. Example- number of customer complaints, complaint average resolution, etc.

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Yes, I know about data. e.g. retailer wise day wise activation.

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characteristics or properties

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Service Level, Complaint per 100K Customer

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Arijit _ individual facts, statistics, and Number , 12 , Zero , Male , Red

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Arijit _ individual facts, statistics, and Number , 12 , Zero , Male , Red

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customer insights

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Data is an indicator. For example, what's the population number from BD can be communicated through Smart Phone

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Data is an indicator. For example, what's the population number from BD can be communicated through Smart Phone

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collective information. customer satisfaction survey.

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Customer Recharge value, Call duration, age in network

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Tanvir_ Data is the collection of information (could be arranged or not arranged properly) which we can analyze and draw some result. Example of Data: Our attendance information.

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Tanvir_ Data is the collection of information (could be arranged or not arranged properly) which we can analyze and draw some result. Example of Data: Our attendance information.

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Data are units of information. For example, MAU of various channels, Customer MSISDN, etc.

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collection of facts and statistics
e.g. daily user count of different apps of Robi

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information to take decision

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Data is information. My work experience, color of my t shirt, customer insights, employee retention rates, employee sick day leave data, employee engagement levels

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Number of customer complaint prediction

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Outage pattern analysis for availability forecasting

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Prediction on Social Media Crisis/negative sentiment

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Customer uses wise product plan

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Optimum price with which customer will continue using Robi

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AT RGB churn

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Understanding customer usage pattern and offering the optimum product against the usage behaviour.

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State of ARPU generation if 5G launched in the current market scenario

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No of customer purchase pack from SMS

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Based on User number , Events , Campaign etc

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New Acquisition Churn

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People productivity Analysis

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a) Customized Customer Experience - everything can be personalized and customized according to a customer's behavior
b) AI and ML in Chatbot - through NLP, reply to a customer after understanding the sentiment and intent of what the customer has types

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New Acquisition Churn

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1. Predict thana wise network Outages
2. Initiate upselling offers for individual customers based on their usage and experiences
3. Prepare threshold crossing notifications based on site performance, customer experience and revenue data to take prioritized actions

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Predictive Model for Employee Retention Rates. Workforce analytics: Attributed enhancing the overall efficiency of the organization

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Try to predict network outage from historical pattern analysis

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1. Predictive Analysis on incoming queries on Social Media based on customer footprint - by tracking customer activity, time of day, ongoing events, etc.
2. Sentiment Prediction: Gather and store customer activity to create a mind-map of their relationship with various services - predict future sentiments before launching any new one.

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Forecast Brand track Data like TOMA, FCBC, Trial from historical data of these metrics and the factors affecting these metrics (eg: media budget, engagement activity count, etc.)

Classify whether the increase of brand parameters increase revenue or vice versa

Predict outcome of campaign ideas

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Predict Hardware Fault

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A Network Availability Predictive Model Based on Network Site Wise Power Configuration and Expected Rainfall in Area