- Build The Business Case—And Know That It May Evolve
- Be Disciplined
- Leverage Value-Stream Mapping
- Include Value Of Information As Part Of Mapping
- Define The Right metrics
Who is the No 1 data scientist in the world
Kira Radinsky is an Israeli computer scientist who was born in 1986 in Ukraine.
She’s famous for her research on predictive data mining, which focuses on using data to make predictions.
One of her most famous achievements is the prediction that cholera would strike Cuba in 2012—sure enough, it did.
What is contact center data
Text-based contact center data tracking monitors communications that take place via text, including emails, SMS messaging, website contact forms, social media and a myriad of other channels.
Is business intelligence a growing field
Business Intelligence Analyst job outlook The job market for business intelligence analysts is expected to grow by 11% from 2019 to 2029, according to the United States Bureau of Labor Statistics which tracks data for the comparable role of management analyst.
What is Dashboard call center
What is a call center dashboard? A Call Center Dashboard is a reporting tool that displays call center metrics and KPIs to allow managers and teams to monitor and optimize performance.
The visual display is intended to simplify analysisreducing the time to consume information from hours to seconds.
How do you ensure data quality?
- Accuracy: for whatever data described, it needs to be accurate
- Relevancy: the data should meet the requirements for the intended use
- Completeness: the data should not have missing values or miss data records
- Timeliness: the data should be up to date
How is data quality measured?
- Data transformation error rates
- Amounts of dark data
- Email bounce rates
- Data storage costs
- Data time-to-value
What are the 4 categories of data quality
There are five traits that you’ll find within data quality: accuracy, completeness, reliability, relevance, and timeliness – read on to learn more.
What is KPI dashboard
A KPI dashboard displays key performance indicators in interactive charts and graphs, allowing for quick, organized review and analysis.
Key performance indicators are quantifiable measures of performance over time for specific strategic objectives.
What are the 7 aspects of data quality
How can you assess your data quality? Data quality meets six dimensions: accuracy, completeness, consistency, timeliness, validity, and uniqueness.
Why is data accuracy important
Data accuracy is important because inaccurate data leads to faulty predictions. If the predicted outcomes are wrong, this leads to wasted time, money, and resources.
Accurate data increases confidence to make better decisions enhances productivity, efficiency & marketing, and helps reduce costs.
How big is the business intelligence industry
The global Business Intelligence (BI) market size is projected to reach US$ 35380 million by 2028, from US$ 24000 million in 2021, at a CAGR of 5.6% during 2022-2028.
What is considered master data
Master data is the core data that is absolutely essential for running operations within a business enterprise or unit.
It is data about key business entities that provides context for business transactions and operations.
Data designated as master data can vary by and within industries.
How do you analyze a call center performance?
- Average handle time
- Quality monitoring
- Customer satisfaction
- Schedule adherence
- Dial transfer rate
- Unavailable time
- Agent occupancy
What are the six characteristics of data?
- Accuracy
- Validity
- Reliability
- Timeliness
- Relevance
- Completeness
What are the 7 analytical methods?
- Efficiency ratio analysis
- Industry comparison ratio analysis
- Other ratio analysis methods
- Revenue and cost trend analysis
- Investment trend analysis
- Reasonableness test
- Regression analysis
What are the 4 domains of the data quality model
quality of data is the outcome of data quality management (DQM), which includes the domains of data application, warehousing, analysis, and collection.
Why do companies use call centers
The purpose of having a call center is to make it easier for both the company and the customer to communicate, solve problems, complete orders, and sell goods and services.
How do you know if data is accurate?
- Average value = sum of data / number of measurements
- Absolute deviation = measured value – average value
- Average deviation = sum of absolute deviations / number of measurements
- Absolute error = measured value – actual value
- Relative error = absolute error / measured value
What are the 8 dimensions of data quality
Garvin has developed a framework encompassing eight dimensions of quality: performance, features, reliability, conformance, durability, serviceability, aesthetics, and perceived quality (Garvin, 1988).
How do you write a call center report?
- Identify What is Important
- Set Informed Goals
- Benchmark Key Statistics
- Incorporate Customer Feedback
- Invest in a User-Friendly Reporting Tool
- Make Data Accessible to Agents
What are the 3 types of master data?
- Customers
- Products
- Locations
- Others
What are the 5 types of master data
The most commonly found categories of master data are parties (individuals and organisations, and their roles, such as customers, suppliers, employees), products, financial structures (such as ledgers and cost centers) and locational concepts.
What is KPI in a call center
A KPI, or key performance indicator, is a metric that contact centers use to determine if they’re meeting business goals such as efficiency and delivering exceptional service.
How do you find precision of data
To calculate precision using a range of values, start by sorting the data in numerical order so you can determine the highest and lowest measured values.
Next, subtract the lowest measured value from the highest measured value, then report that answer as the precision.
What is the difference between call center and contact center
Call centers and contact centers both provide customer service and outreach, but they differ in the communication channels they use.
Call centers use one channel — the phone — while contact centers use several channels.
Call centers emerged in a time before digital channels.
How does Python calculate accuracy?
- Balanced accuracy = (Sensitivity + Specificity) / 2
- Balanced accuracy = (0.75 + 9868) / 2
- Balanced accuracy = 0.8684
What is the formula for accuracy
Accuracy = True Positive / (True Positive+True Negative)*100.
What are the four types of MDM
There are four most common MDM implementation styles adopted (1) Consolidation Style, (2) Registry Style, (3) Coexistence Style, and (4) Centralized Style.
Sources
https://www.ibef.org/blogs/scope-of-data-analytics-in-india-and-future
https://www.naukri.com/learning/articles/top-industries-hiring-data-scientists/
https://www.upgrad.com/blog/data-analyst-salary-in-india-for-freshers-seniors/
https://www.datamation.com/big-data/data-collection-market/
https://www.experian.co.uk/blogs/latest-thinking/data-quality/is-data-governance-the-same-as-data-quality/
