Domo
MAY 29, 2019
Over the past decade, as customers’ demands have changed, in-store sales have declined, and shareholder pressure has risen, many retailers have turned to data as a way to survive an increasingly cut-throat industry. But turning to data means nothing if you don’t also understand how to use it to your advantage.
Dataversity
DECEMBER 9, 2020
In an industry as competitive as eCommerce retail, the ability to turn data into actionable insights presents the opportunity to make business decisions that drive more revenue and control costs. Click to learn more about author Maurice Lacroix.
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Dataversity
DECEMBER 30, 2021
From retail and travel to finance and the public sector, services being moved online and employees working remotely means businesses are more reliant on their digital infrastructure than ever before. In the digital economy, business continuity is inextricably bound to technology.
Dataversity
DECEMBER 17, 2021
But the retailers that fill those particular halls with yuletide treasures should be thinking, “‘Tis the season to be wary.” ‘Tis the season to be jolly. By now, those words from the familiar holiday tune “Deck the Halls” are echoing in malls across the U.S. With the holiday shopping season in full swing, December is […].
Dataversity
DECEMBER 6, 2021
Data is the backbone of many industries – supply chain functions, AI development and operation, smart manufacturing, and customer engagement in the retail industry, just to name a few – and the recent uptick in data usage means companies are finding ways to capitalize on actionable insights.
Dataversity
NOVEMBER 5, 2021
Consumer data is being widely spoken about in the fintech industry, especially as data personalization and transparency are significant to financial data ecosystems. The post Transactional Data: The Future of Real-Time Data In-Store appeared first on DATAVERSITY.
Astera
NOVEMBER 30, 2023
Here are some key reasons why Data Vault 2.0 was needed: Evolving Data Ecosystems: Data Vault 1.0 was developed in the early 2000s when data ecosystems were simpler and less complex compared to today. With the advent of big data, cloud computing, and advanced analytics, data architectures have become more intricate.
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