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Increasing Customer Loyalty With Data Collecting: How to Do It Right

In this contributed article, IT and digital marketing specialist Natasha Lane says that if your goal for the upcoming period is to increase customer loyalty and ensure your hard-won leads remain paying customers long into the future, then it’s important to know how data collecting might help you achieve that effect.

4 Areas Where Grocery Stores Can Use Data Analytics to Enhance Operations

In this special guest feature, Bagrat Safaryan, Co-Founder and CEO of Local Express, takes a close look at four areas where data analytics can have a significant impact for grocers. Thanks to new, easy-to-integrate technologies, if you are a grocer, you can start baking the cake yourself and claim most of it as revenue. The key here is to use the technologies and collect own data, analyze systematic relationships and patterns, and tailor your store’s operations to your and your customers’ needs.

The Future of AI in Sales

In this contributed article, Thomas Rielly, Founder of Triggr, discusses the future of sales relating to AI and big data. Sales processes that are highly optimized by artificial intelligence and machine learning technology aren’t the stuff of science fiction; they already exist. Using AI-infused sales technologies will increase the amount of your sales, putting you ahead of the pack.

Infographic: Increasing Lead Engagement with AI

The infographic in this article from our friends over at GetVoIP summarizes how conversational AI can help increase conversations. Conversational AI can keep leads engaged around the clock, disqualify bad leads, and shorten the sales cycle.

Databricks Launches Data Lakehouse for Retail and Consumer Goods Customers

Databricks, the Data and AI company and pioneer of the data lakehouse architecture, announced the Databricks Lakehouse for Retail, the company’s first industry-specific data lakehouse for retailers and consumer goods (CG) customers. With Databricks’ Lakehouse for Retail, data teams are enabled with a centralized data and AI platform that is tailored to help solve the most critical data challenges that retailers, partners, and their suppliers are facing.

What Walmart’s Data Monetization Strategy Means for CPGs

In this contributed article, Henrique Aveiro and Ryan Powell of Insite AI, suggest that with a more strategic approach, CPGs can unlock stronger insights that help them understand their category challenges and opportunities. By forging their proprietary, operational IP with the right data from those like Walmart, brands will be much more agile, continuously innovative, and empowered to win across everything from assortments, trade promotions, and pricing to help them realize long-term success.

Unified Data is the Key to Consistent Omnichannel Customer Experiences

In this contributed article, Bruno Farinelli, Fraud Analytics Manager for the ClearSale US branch, discusses how unified data can help you connect customers to the products you have in stock, get them through checkout quickly and without mistaking them for criminals, keep up with the changes in their lives for better, more empathetic messaging and make it easier for your front-line employees to deliver great service.

4 Digital Experience Strategies You Need to Consider

In this special guest feature, Garrett Schwegler, Program Manager for Digital Commerce at Lucidworks, offers four strategies you should consider to help you focus and improve the digital experience for your users. More is better—more data, more insights, more happy customers and employees. More can also feel like ‘too much’ if you don’t know where to start.

The Need for Brands to Invest in Data Analytics

In this special guest feature, Thalya Hamilton, VP of Analytics & Data Science, Quotient, discusses how brands will need to strike the right balance by bringing data and analytics in-house—staffing the right talent and empowering them to lead the way forward—while also finding third-party experts to partner with to strengthen their understanding of that data. This dual approach is key if brands want to succeed in a digital-first world.

How Can AI Enhance Human-to-Human Communication and Improve Customer Service?

In this special guest feature, Krishna Raj Raja, founder and CEO of SupportLogic, discusses how AI can help service agents detect customer signals – picking up on how a customer is feeling and also understanding context, then dynamically flagging or escalating a case before an annoyance turns into a major problem.