Terms

Data Hygiene

What is Data Hygiene?

Data hygiene is the process of ensuring the cleanliness and accuracy of data in a database by checking records for errors, removing duplicates, updating outdated or incomplete information, and properly parsing record fields from different systems. This practice is essential for maintaining data quality, which in turn leads to improved decision-making, better customer experiences, increased productivity, and brand protection.

Importance of Maintaining Data Hygiene

Implementing data hygiene best practices is crucial for maintaining accurate and actionable data. Some of these practices include conducting audits, establishing data governance, creating uniform data standards, and validating data. Regularly updating the database is also essential, as data decay occurs at a rapid rate of about 30% each year.

Proper data hygiene offers numerous benefits, such as improved lead generation, faster lead tracking, secure data, accurate personalization, and revenue protection. It also contributes to informed decision-making, increased efficiency, reduced costs, and enhanced customer relationships.

Key Steps for Cleaner Data

  • Audit Data Quality: Regularly generate data quality reports to evaluate data accuracy and completeness.
  • Implement Data Governance: Ensure proper management and control over data assets.
  • Standardize Data Formats: Adopt uniform standards such as abbreviating "Street" to "St." to prevent duplicates.
  • Validate and Enrich Data: Check customer records for accuracy and append missing information to enhance data quality.
  • Cleanse Data Regularly: Suppress irrelevant data and remove duplicates to maintain a clean database.

Comparing Data Hygiene and Data Cleansing

While data hygiene and data cleansing are often used interchangeably, they have distinct differences. Data hygiene is a broader process that encompasses maintaining the accuracy and cleanliness of data within a database, including checking records for errors, removing duplicates, and updating outdated information.

On the other hand, data cleansing is a component of data hygiene, focusing on correcting errors and irregularities in the data.

Best Practices in Data Hygiene

To ensure high-quality data, businesses should:

  1. Conduct Thorough Audits: Evaluate data systems and sources for completeness, accuracy, and security.
  2. Standardize Naming Conventions: Prevent multiple counts of the same event by ensuring uniform data entries.
  3. Understand Data Lifecycles: Manage how data is collected, processed, and stored to prevent silos and enhance security.
  4. Opt for Scalable Databases: Choose databases that specialize in scalability and efficient query processing.
  5. Automate Data Validation: Regularly audit and diagnose data quality issues through automated systems.
  6. Eliminate Duplicate Entries: Maintain data integrity by removing duplicates.

Other terms

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Quality Assurance

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Quality Assurance

Competitive Analysis

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Competitive Analysis

Infrastructure as a Service

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Infrastructure as a Service

Sales Engagement

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Sales Engagement

Application Programming Interface

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Application Programming Interface

Logo Retention

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Logo Retention

Unit Economics

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Data Pipelines

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Data Pipelines

Marketing Mix

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Marketing Mix

Upsell

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Upsell

Representational State Transfer Application Programming Interface

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Representational State Transfer Application Programming Interface

Sales Operations

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Sales Operations

Email Personalization

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Email Personalization

Sales Sequence

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Sales Sequence

Amortization

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Amortization

Persona

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Reverse Logistics

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Reverse Logistics

Net Promoter Score

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Net Promoter Score

Lead Enrichment Software

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Lead Enrichment Software

Sales Prospecting

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Sales Prospecting

Channel Sales

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Channel Sales

Referral Marketing

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CPM

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CPM

Contact Discovery

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Contact Discovery

Siloed

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Siloed

Ideal Customer Profile

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Ideal Customer Profile

Mobile Compatibility

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Inventory Management

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Inventory Management

Lead Management

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Lead Management

Retargeting Marketing

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Retargeting Marketing

Nurture

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Nurture

User Testing

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User Testing

Browser Compatibility

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Browser Compatibility

User Interface

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User Interface

Objection Handling

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Objection Handling

X-Sell

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X-Sell

Trusted Advisor

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Trusted Advisor

Programmatic Advertising

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Programmatic Advertising

B2B Buyer Intent Data

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B2B Buyer Intent Data

Cold Email

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Cold Email

Lead Scrape

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Lead Scrape

Value Gap

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Value Gap

Generic Keywords

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Generic Keywords

Video Selling

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Video Selling

Customer Retention Cost

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Customer Retention Cost

Predictive Analytics

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Predictive Analytics

Employee Advocacy

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Employee Advocacy

Sales Performance Management (SPM)

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Sales Performance Management (SPM)

InMail Messages

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InMail Messages

Dynamic Territories

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Dynamic Territories

Programmatic Display Campaign

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Programmatic Display Campaign

No Forms

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No Forms

Sales Acceleration

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Sales Acceleration

Statement of Work

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Statement of Work

Purchase Buying Stage

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Purchase Buying Stage

Scalability

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Scalability

Single Page Applications

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Single Page Applications

Lead Qualification Process

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Lead Qualification Process

Marketo

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Marketo

Account

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Account

Pain Point

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Pain Point

Omnichannel Marketing

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Omnichannel Marketing

Value-Added Reseller

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Value-Added Reseller

Follow-up

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Follow-up

SAM

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SAM

Channel Partner

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Channel Partner

Artificial Intelligence in Sales

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Artificial Intelligence in Sales

Lead Generation Tactics

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Lead Generation Tactics

Customer Loyalty

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Customer Loyalty

Buyer’s Remorse

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Buyer’s Remorse

B2B Sales Channels

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B2B Sales Channels

NoSQL

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NoSQL

B2B Data

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B2B Data

Big Data

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Big Data

Software as a Service

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Software as a Service

Customer Relationship Marketing

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Customer Relationship Marketing

Personalization in Sales

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Personalization in Sales

Digital Strategy

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Digital Strategy

Revenue Intelligence

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Revenue Intelligence

FAB Technique

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FAB Technique

Cold Emailing

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Cold Emailing

Email Deliverability

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Email Deliverability

Jobs to Be Done Framework

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Jobs to Be Done Framework

Sales Productivity

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Sales Productivity

Account-Based Marketing

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Account-Based Marketing

Omnichannel Sales

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Omnichannel Sales

Brand Loyalty

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Brand Loyalty

Time on Site

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Time on Site

Real-time Data

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Real-time Data

Sales Director

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Sales Director

Email Cadence

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Email Cadence

Data Encryption

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Data Encryption

B2B Demand Generation Strategy

Learn about B2B demand generation strategy, including key elements of demand generation, & crafting your demand generation plan.

B2B Demand Generation Strategy

Email Marketing

Learn about email marketing, including how to start with email marketing, benefits of effective email marketing, & best practices for email campaigns.

Email Marketing

Personalization

Learn about personalization, including benefits of personalization, crafting personalized messages, & personalization vs. customization.

Personalization

Champion/Challenger Test

Learn about champion/challenger test, including benefits of champion/challenger tests, & implementing champion/challenger in sales strategy.

Champion/Challenger Test

Sales Pipeline Management

Learn about sales pipeline management, including key elements of sales pipeline management, & steps to optimize pipeline efficiency.

Sales Pipeline Management

Business-to-Business (B2B)

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Business-to-Business (B2B)

Conversational Intelligence?

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Conversational Intelligence?

Mid-Market

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Mid-Market