Data Mining: Definition, Techniques, Tools & Tips
Callminer
SEPTEMBER 30, 2019
Gain an understanding of data mining, including data mining techniques, tools for data mining, and data mining best practices you should know.
Data Mining Related Topics 
Data Mining Tools Buying Guide: Expert Tips for Choosing the Best Data Mining Tools
Callminer
NOVEMBER 17, 2019
To help you find the right data mining solution, we’ve compiled a list of tips, quotes and other insights from experts around the web.
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What Is Data Mining and Why Is It So Important?
Customer Think
MARCH 25, 2023
Data mining is a technique for sorting huge data sets. Data mining companies use tools and processes to help organizations in predicting future trends and forming decisions. It helps in recognizing the relationships and patterns to resolve business problems.
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Chief Customer Officer Strategy: Dispensable Playbook or Most Valuable Player?
Customer Think
MAY 8, 2023
Offensive plays are in Customer Success, Onboarding, Education, and Operations; Qualitative VoC, Data Mining, and Analytics; Account Management, Journey […] Defensive plays in customer experience management (CXM) are in Service, Loyalty programs, Net Promoter System, and closed-loop Voice of the Customer (VoC).
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How Well Does Your Company Gather and Leverage Qualitative Employee and Customer Insight?
Customer Think
JUNE 6, 2023
To Begin: The Rationale for In-depth Generation of Stakeholder Personas With today’s preoccupation with ChatGPT, and all things AI/digital and sophisticated text analytics and data mining oriented, the value of proactively generating qualitative employee and customer insight is often overlooked or bypassed.
Unstructured Data: Mining the Gold
InteractionMetrics
JUNE 16, 2016
Unstructured data presents a goldmine of information, but mining that gold is no easy task—it requires coding with detailed text analysis. To be clear, unstructured data includes customer survey text comments, customer service calls, emails, chats, reviews, and other narrative sources of information.
Customer Experience-Inspired Corporate Strategy
ClearAction
AUGUST 3, 2023
That’s determined by cutting the data from your relationship survey (or via data mining from Support comments, etc.) Strengthen success by data-mining to guide each growth effort from the start, not as an afterthought. for each group’s own report.
Artificial Intelligence in CX Learning
ClearAction
JUNE 25, 2023
Instead of asking mundane things already captured , use data-mining (machine learning / AI) to bring those basics to managers’ attention, and focus your energy on acting on that rather than collecting yet more redundant data in this overwhelming information age. Instead of asking about your company , ask about them.
CX Growth in Strategic Plans
ClearAction
JUNE 25, 2023
That’s determined by cutting the data from your relationship survey (or via data mining from Support comments, etc.) Strengthen success by data-mining to guide each growth effort from the start, not as an afterthought. for each group’s own report.
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What is predictive analytics and how is it being used in contact centers?
DMG Consulting
OCTOBER 9, 2020
It is an artificial intelligence (AI)-based capability that utilizes data mining, statistical techniques and machine learning to identify relationships, patterns and trends. Question: What is predictive analytics and how is it being used in contact centers?
Customer Service is a Value Center (NOT a Cost/Profit Center!)
ClearAction
JULY 11, 2023
Your AI/ML/big data is grossly incomplete without mining Customer Service calls. Use voice mining and data mining to track defection turnaround. Your data may be incomplete, so be clear about it as the tip of the iceberg of full costs or full revenue. Tie the value of each customer to this turnaround.
Are you listening to your customers?
RateMyService
JUNE 27, 2022
Analysing and comparing your experience data through different lenses e.g. time periods, departments, branches, touchpoints, etc. gives better context to the data and insights and helps focus on organizational improvements. I have had the opportunity to interact with a tool that met almost all my requirements.
Are you listening to your customers?
RateMyService
JUNE 27, 2022
Analysing and comparing your experience data through different lenses e.g. time periods, departments, branches, touchpoints, etc. gives better context to the data and insights and helps focus on organizational improvements. I have had the opportunity to interact with a tool that met almost all my requirements.
Customer Insights Shape Your Firm’s Growth Curve
ClearAction
MAY 26, 2023
Data mining technologies abound, and this should be your top interest in CX tech investment. Every growth effort and every efficiency effort can be greatly improved by customer insights guidance. This goes well beyond ratings and scores. It’s the comments and patterns that are pure gold.
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Good Customer Experience: CX Day 2023
ClearAction
JULY 28, 2023
Data informs and patterns stimulate. Go beyond data sharing via VoC dashboards. Your CX team must know how to connect various customer data sources, conduct extensive data mining to surface unexpected revelations, and use multivariate analysis and old-fashioned deep thinking to find patterns.
Avoiding Bot Biases in Customer Experience
Taylor Reach Group
JULY 17, 2017
In an early attempt to provide more targeted and personalized experiences for consumers, companies would invest in data mining programs that promised a competitive advantage. However, their ability to maximize insights from big data was only marginally successful; unfortunately, there were not enough hamsters to turn the wheel.
A Really Simple Way of Getting Better Reviews
Beyond Philosophy
AUGUST 15, 2020
Also, it would be best to data-mine the survey to get more candid feedback on your experience since people tend to be more accurate about their wants and needs through their mobile devices. Focus on smartphone-generated content for persuasive reviews. Study participants found the emotional content more compelling than other reviews.
4 Ways to Gain Customers’ Trust in Data Security
Beyond Philosophy
OCTOBER 14, 2014
At the same time that concerns about the safety of our data exist, we see great new applications of data mining that make our lives better. With the introduction of data mining into so many experiences, the issue of data security becomes an important aspect of your Customer Experience design.
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Better Together: IoT and CRM for the Manufacturing Industry
SugarCRM
JUNE 22, 2023
IoT and CRM: Better Together IoT is the connection of devices via the internet, while CRM is the collection of customer data through data mining with the purpose of providing useful insight into customer behavior for marketing and sales purposes. Since we know that CRM requires data, combining it with IoT is a perfect match.
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AI, Automation and Analytics Drive Vast Improvements in Contact Centers
DMG Consulting
FEBRUARY 12, 2019
It uses data mining, statistical techniques and machine learning to identify relationships, patterns and trends to anticipate the likelihood future events and behaviors, as well as their business impact. Internally, interaction analytics allows a company to monitor service quality from the customer’s perspective.
3 Roles of Effective Know Your Customer (KYC) Compliance in the Banking Industry
Lightico
JULY 9, 2021
KYC investigations involve more intrusive means such as data mining using an advanced computer system designed to find information such as aliases, names, and addresses. KYC Investigation.
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4 Ways to Gain Customers’ Trust in Data Security
Beyond Philosophy
OCTOBER 14, 2014
At the same time that concerns about the safety of our data exist, we see great new applications of data mining that make our lives better. With the introduction of data mining into so many experiences, the issue of data security becomes an important aspect of your Customer Experience design.
4 Ways to Gain Customers’ Trust in Data Security
Beyond Philosophy
OCTOBER 14, 2014
At the same time that concerns about the safety of our data exist, we see great new applications of data mining that make our lives better. With the introduction of data mining into so many experiences, the issue of data security becomes an important aspect of your Customer Experience design.
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Customer Centric Service Design
ClearAction
DECEMBER 12, 2017
Reality Maps are built on four questions, after the Business Intelligence team conducts customer feedback data mining to identify high-priority improvement opportunities: 1) Why would this project benefit the customer? 2) What is going to be built? 3) How will the solution work for the customer?
Are Loyalty Cards Dead?
Beyond Philosophy
MAY 10, 2017
One of the most useful aspects of loyalty cards is that they give companies a tool for data mining. Loyalty programs aren’t a waste of time, even if they don’t actually create customer loyalty. By collecting and analyzing customers’ loyalty card use, a company can begin offering customers more of what they want.
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Uncovering the Secret to Predicting Customer Behavior
Beyond Philosophy
AUGUST 29, 2016
The analysis of facts from today and through history, using data mining techniques to provide a predictive score for the probability that a type of decision will occur. In predictive analytics, analysts use predictive modeling, which is using statistics to predict what will happen next.
Customer Care … CRM … Customer Experience — What’s the Difference?
ClearAction
DECEMBER 14, 2017
Customer relationship management (CRM) — use of a database of customer transactions and facts that enable customized communications (1-to-1 marketing), upselling, cross-selling, and data-mining. Experiential marketing — events and campaigns that build customer advocacy.
Customer Care … CRM … Customer Experience — What’s the Difference?
ClearAction
DECEMBER 14, 2017
Customer relationship management (CRM) — use of a database of customer transactions and facts that enable customized communications (1-to-1 marketing), upselling, cross-selling, and data-mining. Experiential marketing — events and campaigns that build customer advocacy.
Outbound Call Center Tips & Best Practices
Callminer
SEPTEMBER 23, 2020
Use lead-centric data mining tools to boost outbound results by providing much-needed context for calls. Individuals are more likely to answer recognizable or local numbers instead of random, unknown ones.”
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How to ask your customers great questions and gather actionable feedback – 3 key takeaways
Intercom
MAY 31, 2022
Sarah shares how Great Question identifies top advocates and how to approach building relationships that elevate customer stories: “From a data mining perspective, your advocates will be the people that are living and breathing your tool.
Business intelligence vs. predictive analytics: Turn key differences into advantages
1 to 1
MAY 26, 2022
Business intelligence or BI is comprised of procedures and infrastructure for collecting, storing, analyzing, and interpreting data that is produced by a company.
How CMO Leadership is Expanding to Include Both Marketing and Customer Experience Transformation – CB81
Customer Bliss
DECEMBER 12, 2017
Year 4 and 5: Put together a CRM team and by then, the analytics teams were there, which increased customer data mining. Now Isabella’s team is more proactive in using data, understanding customer engagement, and solving problems that erode value. It was important that they picked one project that was complex and visual.
Understanding the Cost of Not Doing (the Right) Personas
CX Journey
DECEMBER 10, 2015
Once you’ve got the data, you can start to put a whole image together of your customers and begin creating accurate, insightful customer personas. Other data-gathering activities such as data mining, social media usage, etc. can come together at a later date, giving you further insight into your customers.
How to Lead CX Transformation in a Customer-Focused Tech Organization
Customer Bliss
JULY 19, 2018
Executive Level responsibility for the overall customer experience; including social cloud monitoring, data mining, and analysis of customer value and experience.
Transforming the Customer Experience with Big Data
CX Journey
JULY 10, 2014
Analysis takes many forms because there will be many different types of data to make sense of. You''ll need a way to crosstab, predict, identify key drivers, and prioritize improvements with survey data; mine and analyze your unstructured data; and track, review, and prioritize social media inputs and influencers.
Four Top Trends for Contact Centers
Taylor Reach Group
MAY 30, 2017
Business rules tied to applications, and informed by big data and data mining, can drive proactive interactions with or without an agent involved. . Chatbots and messenger applications leverage the knowledge base to serve content and answers to customers’ questions.
Contact Center and CX Expos Conferences and Summits – June 2018
Taylor Reach Group
MAY 24, 2018
See a lineup of leading retail experts in analytics, data science, data mining, eCommerce & marketing optimization for 2018. Learn from Fortune 500 companies and innovative start-.ups ups to create a business strategy that will ensure growth for your business. Customer Contact – Europe: June 11-13, Dublin, Ireland.
Workforce Optimization Ushers in the Real-Time Contact Center
DMG Consulting
APRIL 16, 2019
Using data mining, statistical techniques, and machine learning to identify relationships, patterns, and trends, a predictive model can be built to anticipate future events or behaviors, as well as their potential business impacts.
Weathering the Negativity Storm
CX Journey
NOVEMBER 28, 2014
She is the survivor of a botched early-generation "big data mining" operation and is happy to live to tell about it. Specialties include VoC architecture, journey mapping, developing linkages to business performance, reduction of customer defection, results analysis and communication, with expert survey design skills.
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63 Nurture Partner Relationships: Tough Jobs Require Strong Partners
CX Journey
AUGUST 29, 2014
She is the survivor of a botched early-generation "big data mining" operation and is happy to live to tell about it. Specialties include VoC architecture, journey mapping, developing linkages to business performance, reduction of customer defection, results analysis and communication, with expert survey design skills.
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The Future of Marketing: Automation and Predictive Analytics
SugarCRM
OCTOBER 12, 2021
By combining techniques from data mining, statistics and machine learning, marketing automation platforms—such as our very own Sugar Market—allow organizations to parse and find meaning in large amounts of customer data. And with more and more businesses using some form of automation, it’s not going away soon.
State of Business-to-Business Customer Experience Management
ClearAction
JANUARY 14, 2015
Indeed, B2B is late to the party in adopting technologies for predictive analytics, data mining, social collaboration and user-generated content; about one in four B2B firms is using such technologies.
Beginners Guide To Tin Can API
ProProfs
MARCH 31, 2016
The following image demonstrates this: This opens up the possibilities of a new era of data mining opportunities with respect to correlation and causation. For this to happen, both the webinar application and the sales CRM should be Tin Can compliant. Conclusion.
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Call Center Software: How to Choose the Best Software (Tips & Best Practices)
Callminer
AUGUST 6, 2019
New analytics tools also help businesses data-mine social media for signs of potential customer issues before phones start ringing. Contact center software vendors are increasingly offering modules that allow agents to manage interactions via social media sites such as Twitter and Facebook. Virtual queuing/Web callback.
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