GAVS Technology

SEPTEMBER 14, 2021

Industries like retail or e-commerce largely depend on strong customer relationships and constantly work towards improving engagement with their clients. This is where AIOps digital transformation solutions come in. The retail and e-commerce industries need AIOps to predict customer response and improve their services.

E-Commerce 40

E-Commerce Customer Experience Customer Experience Retail 40

Smart Data Collective

JUNE 3, 2021

The market for data analytics in the insurance sector is projected to be worth nearly $22.5 Many of the applications of big data for insurance companies will be realized with machine learning technology. Comprehensive digital visions and AI strategies, on the other hand, are still a rarity in this sector.

Data Analytics 245

Data Analytics Data Analytics Big Data Banking 245

Smart Data Collective

APRIL 7, 2022

Companies in the distribution industry are particularly dependent on data, due to the complicated logistics issues they encounter. There are many reasons that data analytics and data mining are vital aspects of modern e-commerce strategies. Integrated ERP makes eCommerce easier to manage for a business’s staff.

E-Commerce 263

E-Commerce Supply Chain Retail Logistics 263

Argon Digital

JUNE 27, 2023

Enhanced Customer Experience : Automation plays a crucial role in delivering exceptional customer experiences. By automating customer-facing processes, organizations can respond faster to customer inquiries, provide self-service options, and ensure timely and accurate order processing.

Logistics 52

Logistics Supply Chain Financial Analysis Customer Experience 52

Astera

FEBRUARY 14, 2024

A shift from manual to digital processing in the insurance sector , especially for handling unstructured data, is defining the industry’s future. Digital transformation is a key for insurers to efficiently manage the increasing volumes of complex data.

Documentation 52

Documentation Digital Transformation Digital Real-time Data 52

Data Pine

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.

Supply Chain 110

Supply Chain Logistics Big Data Customer Experience 110

Cprime

FEBRUARY 6, 2024

– Core competencies include strategic product management, user experience and design thinking, technical agility, cross-functional collaboration, data analytics and decision-making, and leadership and change management. What are the core competencies needed for a product-centric approach?

Agile 91

Agile Innovation Product Management Product Management 91

Actian

DECEMBER 19, 2018

To survive, companies must find ways to remove friction in their systems and business processes – leveraging real-time operational data and translating it into actionable insights that drive activities across the company. Competitors are looking at real-time data and making decisions.

Real-time Data 40

Real-time Data Logistics Customer Experience Customer Experience 40

Actian

FEBRUARY 17, 2020

You’ve been doing the “digital transformation” thing for a couple of years – integrating your business and IT processes and leveraging technology and data in new ways to drive greater operational efficiency and immersive customer experiences. Integrating your enterprise data in real-time for analytics.

Data Warehouse 40

Data Warehouse Digital Transformation Supply Chain Logistics 40

Data Pine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 105

Big Data Data Analytics Data Analytics IBM Maintenance 105

Data Pine

OCTOBER 25, 2022

With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. click for book source**. click for book source**.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Data Pine

APRIL 3, 2020

Customer service shouldn’t just be a department, it should be the entire company.” – Tony Hsieh, CEO of Zappos. That said, to improve the overall efficiency, productivity, performance, and intelligence of your contact center you will need to leverage the wealth of digital data available at your fingertips.

Visualization 80

Visualization Digital Data Visualization Real-time Data 80

Data Pine

JANUARY 21, 2020

To put the business-boosting benefits of BI into perspective, we’ll explore the benefits of business intelligence reports, core BI characteristics, and the fundamental functions companies can leverage to get ahead of the competition while remaining on the top of their game in today’s increasingly competitive digital market.

Business Intelligence 103

Business Intelligence Business Intelligence Procurement Artificial Intelligence 103

GAVS Technology

JANUARY 7, 2021

Gartner defines AIOps as a combination of big data and machine learning functionalities that empower IT functions, enabling scalability and robustness of its entire ecosystem. These systems transform the existing landscape to analyze and correlate historical and real-time data to provide actionable intelligence in an automated fashion.

Vision 52

Vision Artificial Intelligence Monitoring Big Data 52

Astera

APRIL 10, 2023

In today’s digital landscape, data management has become an essential component for business success. Many organizations recognize the importance of big data analytics, with 72% of them stating that it’s “very important” or “quite important” to accomplish business goals. Download Free Whitepaper 2.

Data Management 52

Data Management IBM Maintenance Real-time Data IBM Support 52