Collibra

JUNE 25, 2021

Data-driven organizations are depending on modern technologies and AI to get the most out of their data assets. But they struggle with data quality issues all the time. Incomplete or inaccurate data, security problems, hidden data – the list is endless. The most common data quality problem statements.

Analytics 59

Analytics Customer Experience Unstructured data Metadata 59

IBM Big Data Hub

DECEMBER 1, 2023

To align with key imperatives and transform their companies, insurers need to provide digital offerings to their customers, become more efficient, use data more intelligently, address cyber security concerns and have a resilient and stable offering.

Insurance 105

Insurance Digital transformation Customer Experience Cloud 105

Reltio

JANUARY 28, 2021

Slack’s openness to customer feedback to add new features. . MDM’s Role: Incorporating all transactions and interactions, unstructured data from social media, help chats, video, and audio to create a single view of customer overhauls a company’s ability to understand their customers’ needs. . #2 Examples: .

MDM 98

MDM IoT Customer Experience Unstructured data 98

OpenText Information Management

APRIL 15, 2024

OpenText™ Aviator Search : We have introduced a generative-AI chat user interface (UI) with referenced knowledge discovery for our unstructured data analytics solution, OpenText™ IDOL™, leveraging generative-AI and large language models (LLMs) for knowledge gathering, without replication or relocation.

Cloud 96

Cloud Analytics Digital transformation Customer Experience 96

OpenText Information Management

APRIL 15, 2024

OpenText™ Aviator Search : We have introduced a generative-AI chat user interface (UI) with referenced knowledge discovery for our unstructured data analytics solution, OpenText™ IDOL™, leveraging generative-AI and large language models (LLMs) for knowledge gathering, without replication or relocation.

Cloud 94

Cloud Analytics Digital transformation Customer Experience 94

AIIM

MAY 20, 2020

Exceptions can be caused by a number of reasons, including unstructured data (like a contract or a conversation), semi-structured data (like an invoice or a form), new formats, or a system error. “Are we experiencing a lot of exceptions?” Can’t make the live event?

IT 135

IT Unstructured data ECM Customer Experience 135

Reltio

OCTOBER 9, 2022

Benefits of a Big Data Management Plan. Forbes reported that 95 percent of businesses say they struggle to manage unstructured data. Big data management involves understanding the 5Vs of big data and using the right tools, technologies, people and processes to manage it effectively. Challenges in Managing Big Data.

Big data 52

Big data MDM Unstructured data Analytics 52

ARMA International

SEPTEMBER 22, 2021

How will organizations use so-called “vaccine passports” related to employees and customers and how will organizations secure their protected health information (PHI) in response to changing health directives? Customer Experience (CX). In the age of DT, organizations must ensure memorable experiences for their customers.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

Reltio

JANUARY 28, 2021

It also powers your real-time operations across digital channels and human interactions such as call center and sales so you can deliver omnichannel connected customer experiences and boost NPS scores. What data you use, how you structure it, and who can access it all hinges on preserving data quality in legacy MDM systems.

MDM 98

MDM Customer Experience Marketing Government 98

CGI

OCTOBER 31, 2018

Emerging trends are creating numerous opportunities to unlock new customer experiences and business models for the digital economy, with advanced analytics serving as the differentiator in achieving operational, commercial and customer engagement excellence. Data also needs to be easily accessible by all users.

Energy and Utilities 40

Energy and Utilities Analytics Digital transformation Customer Experience 40

IBM Big Data Hub

AUGUST 4, 2023

Employees and leaders need to trust the data is accurate, know how to access it, as well as how it could be applied to business problems. In turn, they both must also have the data literacy skills to be able to verify the data’s accuracy, ensure its security, and provide or follow guidance on when and how it should be used.

Analytics 63

Analytics Artificial Intelligence Digital transformation Access 63