Big Data
Motivation
Sales Tech
Theoretically Speaking
Sales Analytics
200

Describes the challenges and negative impacts associated with excessive information

Information burden - or - Information overload

200

Undertaking an activity because it satisfies internal needs.

Intrinsic Motivation

200

Technologies that enhance social interactions, allowing salespeople to generate social content and develop social networks

Social Media Technology

200

An essential aspect of human psychology

Motivation

200

A company’s function that combines math, statistics, specialized programming, advanced analytics, AI, and machine learning with specific subject matter expertise to uncover actionable insights

Data Science

400

Data that is non-numerical

Qualitative data

400

Prompts actions based on earning external rewards.

Extrinsic Motivation

400

Empowerment, Elimination of time-consuming tasks, and Gaining a competitive advantage

3 broad benefits of using sales technology for salespeople

400

Refers to the overall feeling of pleasure in one’s work

Job Satisfaction

400

Descriptive, Diagnostic, Predictive, and Prescriptive

Types of Sales Analytics

600

Modern era of smart operations

Industry 4.0

600

Occurs when one individual’s emotions spread to others in a group.

Emotional Contagion

600

Artificial intelligence application that allows the creation of new and original content that imitates human-like creativity

Generative AI

600

Motivation = Expectancy x Instrumentality x Valence

Expectancy Theory

600

A measure of how quickly sales leads and prospects move from development to a sale (or no sale)

Pipeline velocity

800

Velocity, Volume, Variety, Veracity, Value, Variability

6 V’s of Big Data

800

Activation, Persistence, and Intensity

Three Elements of Motivation

800

Programs that record, transcribe, and analyze sales calls to prompt actions

Call Tracking and Call Analytics Program

800

States humans are motivated to pursue goals at different levels.

Maslow’s Hierarchy of Needs

800

This type of analytics seeks to answer the question, “What should we do?”

Prescriptive Analytics

1000

The accuracy, reliability, and cleanliness of a big data set.

Veracity

1000

External, Introjected, Identified, and Intrinsic

Self-Concordance Motivational Drivers

1000

Adverse psychological and physiological reactions that salespeople experience when they interact with technology in the workplace

Technostress

1000

Herzberg developed an early model of workplace motivation and satisfaction

Two-Factor Theory

1000

Information deeply rooted in personal experiences and insights that are difficult to articulate and codify

Tacit knowledge