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Data Science/Analytics Tools, Technologies and Languages used in 2017

Most Used Data Science Tools and Technologies in 2017 and What to Expect for 2018

The practice of data science requires the use of analytics tools, technologies and languages to help data professionals extract insights and value from data. A recent survey by Kaggle revealed that data professionals relied on Python, R and SQL more than other tools in 2017. Looking ahead to 2018, the survey results showed that data […]

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Top BOB Blog Posts for 2017: Data Science, Machine Learning and Customer Analytics Best Practices

The importance of analytics continues to grow in business and beyond. I did my part this year to spread interest in analytics to more people. All of my top blog posts of 2017 (most reads) are all related to analytics, with posts that address data science, artificial intelligence and machine learning. Below are my top […]

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Figure 2. Analytical Leaders

Why You Need to Adopt Data Science and Machine Learning in your Customer Experience/Success Program

A study of 80+ companies showed that analytical leading companies (those who use analytics to gain a competitive advantage), more so than analytical lagging companies, leverage their data differently. Analytical Leaders focus their analytics to improve customer loyalty while Analytical Laggards focus their efforts primarily to reduce enterprise costs. Additionally, Analytical Leaders, compared to Analytical […]

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Figure 1. Companies vary on their ability to compete on analytics.

Customer Analytics Best Practices: Free White Paper

We surveyed 80+ customer-centric professionals in companies with formal customer-centric programs (e.g., customer experience, customer success) to determine the state of analytics in customer programs as well as identify what analytical leading companies (companies who use analytics to gain a competitive advantage) do differently in their customer programs compared to their analytical lagging counterparts. We […]

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State of Analytics In Customer Programs: Customer Loyalty Focus, Machine Learning Adoption and the Data Science Skill Gap

A new customer analytics survey of 80+ companies provides a look into the state of analytics in customer programs. Only 32% of respondents are satisfied with their company’s use of analytics to create a competitive advantage. The use of multiple survey methods is the most common practice across companies (80% of companies). The use of […]

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Artificial Intelligence: The Customer Experience Imperative

Customer Experience Management (CXM) is the process of understanding and managing customers’ interactions with and perceptions about the company/brand. In our Big Data world, improving the customer experience is increasingly becoming data-intensive endeavor. Consider CRM systems, surveys, social media sources, telemetry systems, and publicly available data sources; using the combined power of statistics and today’s […]

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