datapine
MAY 2, 2023
Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?
IBM Big Data Hub
APRIL 18, 2023
Real-Time Payments, for example, have widely adopted ISO 20022 across many countries, and Wire Payments networks are also announcing their support plans, including Fedwire, Lynx and SWIFT, by the end of 2025. Are your payment systems ready to reap these benefits? These can help to increase customer satisfaction and loyalty.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Ontotext
AUGUST 17, 2023
Gartner® claims that “by 2025, graph technologies will be used in 80% of data and analytics innovations, up from 10% in 2021, facilitating rapid decision making across the enterprise.” ” (See “Market Guide for Graph Database Management Systems”, Published 30 August 2022, by Merv Adrian and Afraz Jaffri).
DataKitchen
FEBRUARY 21, 2023
How do you scale an organization without hiring an army of hard-to-find data engineering talent? Or, as one of our customers put it, “How do I increase the total amount of team insight generated without continually adding more staff (and cost)?” Staff turnover, stress, and unhappiness. Summary: 10x your data engineering game.
datapine
JULY 17, 2019
Experts predict that by 2025, around 175 Zettabytes of data will be generated annually, according to research from Seagate. KPIs used: Customer Acquisition Costs. In the commercial world, sales cover a broad spectrum and to ensure you meet your targets while cementing growth, collecting the right data is essential.
datapine
SEPTEMBER 11, 2019
Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success. billion , growing at a CAGR of 26.98% from 2016.
Sisense
JANUARY 13, 2020
In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. The world of data in modern manufacturing. Manufacturing companies that adopted computerization years ago are already taking the next step as they transform into smart data-driven organizations. It’s easy to see why.
Expert insights. Personalized for you.
275 
Let's personalize your content