Best Practices

Amazon Redshift COPY command cheatsheet

Amazon Redshift COPY command cheatsheet

Although it’s getting easier, ramping up on the COPY command to import tables into Redshift can become very tricky and error-prone.   Following the accordion-like hyperlinked Redshift documentation to get a complete command isn’t always straighforward, either. Treasure Data got in on the act (we always do!) with a guide to demystify and distill all the COPY commands you could ever need... »

Redshift Data Loading Simplified

As the Big Data scene emerges, one of the most common problems experienced by data engineers and data scientists alike involves getting data from one system to import nicely into (and export from) another. Often times, these are NoSQL systems that need to talk to Postgresql, MySQL or other setups. As the problem relates to getting semi-structured data, at volume, into the very-structured data ware... »

Look to Risk Modeling for Best Analytics Practices

Look to Risk Modeling for Best Analytics Practices

As companies look to improve their analytical competency — charting a path from analytically challenged to analytical practitioner to analytical innovator — they might consider turning to risk management modeling best-practices for guidance. That might not seem logical at first glance. What, for example, can marketing analytics professionals learn from risk management modelers? Actuall... »

Model Risk 101: A Checklist for Risk Managers

Model Risk 101: A Checklist for Risk Managers

In my previous Model Risk 101 blog post, I discussed how the first line of defense – model developers and users – are tasked primarily with implementing a consistent, formalized model development approach. That’s a challenge in and of itself – but model risk management and governance doesn’t end there. Once in production, predictive models are subject to performance erosion driven by changes in po... »

Cloud analytics: Six tips for success

Cloud analytics: Six tips for success

The cloud movement that started more than a decade ago has turned into a stampede in nearly every category of enterprise software. It’s no different in business intelligence and analytics, as I observed last month, but there’s no one set path or approach to bringing data-exploration and analysis into the cloud. One argument is that data analysis is moving into the cloud because more an... »

Best Practice In Analytics

Best Practice In Analytics

Executives at a European Financial Services fi rm had a clear vision. The company would create a data analytics application for all the markets it served. It would then collect data about its customers’ behaviours and preferences and, through analysis of the data, could identify opportunities that would enable the fi rm to present the right o er to the right customer at the right time. The compan... »

Data Science 101: Interactive Analysis with Jupyter and Pandas

Data Science 101: Interactive Analysis with Jupyter and Pandas

This article was originally published on Treasure Data blog. In case you were wondering, the next time you overhear a data scientist talking excitedly about “Pandas on Jupyter”, s/he’s not citing the latest 2-bit sci-fi from the orthographically challenged! There are now a few cloud-based analytics infrastructures available out there, including the one from Treasure Data, which, being one of the e... »

6 Customer Experience Practices of Loyalty Leaders

6 Customer Experience Practices of Loyalty Leaders

In this post, I study what loyalty-leading companies do differently than loyalty-lagging companies in their customer experience management (CEM) efforts. The research helps identify best practices that companies can adopt in their CEM efforts to increase customer loyalty. Customer satisfaction is important for business success. Satisfied customers recommend your brand to their friends, stay with y... »

Creating Value from Analytics: The Nine Levers of Business Success

Creating Value from Analytics: The Nine Levers of Business Success

IBM just released the results of a global study on how businesses can get the most value from Big Data and analytics. They found nine areas that are critical to creating value from analytics. You can download the entire study here. IBM Institute for Business Value surveyed 900 IT and business executives from 70 countries from June through August 2013. The 50+ survey questions were designed to help... »

Improve the Customer Experience by Adopting Customer Feedback Best Practices

Take the Customer Feedback Best Practices Survey now and receive free executive summary of results Collecting, centralizing and acting on customer feedback is an important foundation for building a winning customer experience management (CEM) program. Past research shows that adoption of specific business practices improves the effectiveness of CEM programs (see results of this prior research here... »

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