Rocket Software

JULY 5, 2022

These costs incurred to the companies are mandatory and regulated either by compliance laws or the organization’s foundational procedures. Step 1: Organize your existing data and processes . But these structured and unstructured data sources can have errors, and timely resolution of these errors at scale is not easy.

Unstructured data 72

Unstructured data Analytics Compliance Information governance 72

eSecurity Planet

DECEMBER 22, 2021

But in order for businesses to maintain compliance with major privacy laws , they have to have security measures in place before an attack. The regulations from GDPR, PIPL, and CCPA are especially prevalent to MSPs and software vendors because they get access to data from so many organizations, but all businesses need to comply with them.

GDPR 144

GDPR Compliance Data Privacy Privacy 144

AIIM

SEPTEMBER 2, 2021

This graphic from the Compliance, Governance, and Oversight Council (CGOC) shows the breakdown of the information held in a typical organization. The retention schedule must apply to all the data in an organization’s possession, not just information officially classified as “records.” Clarity invites compliance.

IT 188

IT Unstructured data Privacy Compliance 188

Security Affairs

JULY 3, 2023

Examples: Customer Personal Identifiable Information, transactional data, inventory records, and financial statements. Unstructured Data: Unstructured data, on the other hand, is characterized by its lack of organization and predefined format.

Unstructured data 94

Unstructured data Metadata Encryption Data structuring 94

IBM Big Data Hub

FEBRUARY 2, 2023

In addition, companies have complex data security requirements. However, over the past decade, a vast array of compliance and security standards, such as SOC2, PCI, HIPAA, and GDPR, have been introduced, and met by cloud providers.

Cloud 56

Cloud Analytics Unstructured data Compliance 56

erwin

JUNE 26, 2020

It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., legacy systems, data warehouses, flat files stored on individual desktops and laptops, and modern, cloud-based repositories.). This also diminishes the value of data as an asset. Ensures regulatory compliance.

Metadata 132

Metadata Unstructured data Compliance Sales 132

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Privacy Access Libraries 52

erwin

JANUARY 17, 2020

In the modern context, data modeling is a function of data governance. While data modeling has always been the best way to understand complex data sources and automate design standards, modern data modeling goes well beyond these domains to accelerate and ensure the overall success of data governance in any organization.

Metadata 138

Metadata Digital transformation Unstructured data Artificial Intelligence 138

IBM Big Data Hub

JULY 12, 2023

Generative AI is changing the game Generative AI can be applied to an array of use cases, such as sorting and classifying written input, transforming domain-specific text into personalized summaries, identifying and extracting essential information from unstructured data, and generating code, marketing content and more.

Unstructured data 53

Unstructured data Government Compliance Marketing 53

IGI

AUGUST 7, 2019

Our first Snapshot focuses on the interplay between IG and privacy by telling the story of Sarah, an attorney in a large pharmaceutical company who leveraged GDPR compliance momentum to build a broader IG program. Download the IG Snapshots special report here.

Information governance 20

Information governance Government Unstructured data Healthcare 20

IBM Big Data Hub

JANUARY 5, 2023

Combined with effective data lifecycle management , which evolves into data as product management, a modern data architecture can enable your organization to: Allow data stewards to ensure data compliance, protection and security. Perform data quality monitoring based on pre-configured rules.

Metadata 52

Metadata Analytics Big data Unstructured data 52

IBM Big Data Hub

DECEMBER 4, 2023

As part of our generative AI initiatives, we can demonstrate the ability to use a foundation model with prompt tuning to review the structured and unstructured data within the insurance documents (data associated with the customer query) and provide tailored recommendations concerning the product, contract or general insurance inquiry.

Insurance 54

Insurance Digital transformation Compliance Cloud 54

eSecurity Planet

AUGUST 4, 2022

That’s one of the reasons why the White House recently put out two executive memos mandating that government agencies upgrade to post-quantum encryption. These memos will likely not only impact the security landscape at the government level, but also industries that work closely with the U.S. Data sharing while staying in compliance.

Encryption 132

Encryption Computer and Electronics Cloud Passwords 132

Info Source

JUNE 11, 2019

M-Files for Salesforce seamlessly integrates M-Files content services directly within the familiar Salesforce user interface, providing easy access to out-of-the-box document management, compliance and governance features via the user interface where Salesforce users spend most of their time throughout the day.

Access 40

Access Unstructured data ECM Sales 40

Everteam

OCTOBER 28, 2019

Paris, 29 October, 2019 – Everteam, a leading provider of enterprise content management and information governance software, is pleased to announce that its everteam.archive software now supports the SEDA (Data Exchange Standard for Archiving) 2.1, NF Z44-022 and ISO 20614 standards.

Archiving 40

Archiving Unstructured data Information governance Metadata 40

Collibra

FEBRUARY 3, 2022

How poor data quality can lead to bad decisions. Gartner estimates that poor data quality hurts to the tune of $15 million as the average annual financial cost. The cost of poor data quality is not always measurable. But these advantages can turn data lakes quickly into data swamps. .

Metadata 52

Metadata Analytics Unstructured data Government 52

The Last Watchdog

NOVEMBER 4, 2021

Legacy filing systems were not built to keep track of the personal data of specific individuals primarily to be in compliance with the many data protection regulations popping up around the world. The easiest way to manage personal data is by not collecting it in the first place. Dealing with legacy systems.

Personal data 237

Personal data Unstructured data Privacy Data Privacy 237

Everteam

MARCH 12, 2019

“By 2022, 50% of organizations will include unstructured, semistructured and structured data within the same governance program, up from less than 10% today.” Gartner Market Guide for File Analytics. After all, they are very different types of information, so they require different technology and governance approaches.

Unstructured data 84

Unstructured data Metadata Information governance Data structuring 84

eDiscovery Daily

AUGUST 7, 2018

What is Information Governance? IG, or as it’s also known data governance, is basically a set of rules and policies that have to do with a company’s data. Data access. Data storage & maintenance. Data backup and/or disposal. Accountability for employees handling data. We want to see you!

IT 31

IT Unstructured data Information governance Government 31

DLA Piper Privacy Matters

MAY 11, 2020

Create an operationally significant limited exception to deletion and access rights for many types of unstructured data. Right to know, access and receive personal information collected before the 12-month lookback period for data collected on or after Jan.

Privacy 52

Privacy Unstructured data Access Data collection 52

Collibra

AUGUST 7, 2020

Across all industry verticals, companies are collecting much greater volumes of data, which points to the need for scalable, cost-effective solutions. They are also collecting a greater variety of data (including structured, semi-structured and unstructured data) that is difficult to describe via a single schema.

Cloud 81

Cloud Government Unstructured data Analytics 81

Collibra

SEPTEMBER 9, 2022

The impact of data quality is directly seen in lower revenue and higher operational costs, both resulting in financial loss. Data quality significantly influences the organizational efforts in governance and compliance, leading to additional rework and delay. The most common data quality problem statements.

Analytics 92

Analytics Customer Experience Marketing Unstructured data 92

OpenText Information Management

MAY 27, 2024

InfoArchive is a direct response to an organization’s need to keep migration costs and project timelines to a minimum, simplify infrastructure, and manage long-term compliance and data access requirements. Regulatory Compliance. OpenText™ InfoArchive is purpose-built to address these challenges head-on.

Data migration 62

Data migration Cloud Unstructured data Compliance 62

Reltio

OCTOBER 28, 2020

To create master data that shows connections across functions and provides a clear view of business processes, you need to establish some guidelines and a way to enforce them. That’s called master data governance. . What is master data governance? Why is master data governance important? .

Government 52

Government MDM Big data Unstructured data 52

ARMA International

SEPTEMBER 22, 2021

While these RIM practices are still important to help ensure governance, compliance, and manage risks, it is also important to realize that information is both a product and a service. Information Governance (IG). Discussions of IG often lead to a discussion of data governance (DG) and whether the two are different.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

IBM Big Data Hub

SEPTEMBER 7, 2023

It has an end-to-end process for building and testing foundation models and generative AI — starting with data collection and ending in control points for tracking the responsible deployments of models and applications — focused on governance, risk assessment, bias mitigation and compliance.

Artificial Intelligence 102

Artificial Intelligence Unstructured data Risk Compliance 102

Reltio

JANUARY 28, 2021

The best practices many businesses centered their ERPs and customer data systems on now severely limit their agility and ability to use emerging data sources for competitive advantage. First-generation MDMs: Focus heavily on master data governance to ensure data quality. 3 Using unstructured data .

MDM 98

MDM IoT Customer Experience Unstructured data 98

Thales Cloud Protection & Licensing

DECEMBER 8, 2020

Indeed, the “Market Guide for File Analysis Software” report issued by Gartner reveals that through 2024, 80% of information governance programs that do not include unstructured, semi-structured and structured data within the same governance program will fail, up from 30% today. Better data visibility to the rescue.

Privacy 62

Privacy Digital transformation Data Privacy Risk 62

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

erwin

JUNE 27, 2019

Additional challenges, such as increasing regulatory pressures – from the General Data Protection Regulation (GDPR) to the Health Insurance Privacy and Portability Act (HIPPA) – and growing stores of unstructured data also underscore the increasing importance of a data modeling tool.

Unstructured data 81

Unstructured data Metadata Analytics GDPR 81

eSecurity Planet

SEPTEMBER 13, 2021

LookingGlass Cyber Solutions is an open source-based threat intelligence platform that delivers unified threat protection against sophisticated cyberattacks to global enterprises and government agencies by operationalizing threat intelligence. Compliance reports. Compliance management. Learn more about AT&T Cybersecurity.

Analytics 125

Analytics Cybersecurity Risk Cloud 125

Info Source

MARCH 20, 2019

“It allows users to design and deploy intelligent robots that use built-in AI and machine learning to perform functions such as recognizing, classifying, and when needed transforming unstructured data into structured formats. Ensured compliance and an enhanced level of customer engagement.

Digital transformation 56

Digital transformation Unstructured data Compliance Financial Services 56

Reltio

JANUARY 28, 2021

To illustrate, some companies were able to pivot faster to curbside pick up and virtual experiences that were traditionally run live in person, such as auctions, without creating a disconnected customer experience because they had a single source of truth for their enterprise data. 2 Make data governance an integral part.

MDM 98

MDM Customer Experience Marketing Government 98

IBM Big Data Hub

JANUARY 16, 2024

These technologies drive innovation on their hybrid, multicloud journeys while focusing on resilience, performance, security and compliance. Companies are also striving to balance this innovation with growing environmental, social and governance (ESG) regulations.

Energy and Utilities 86

Energy and Utilities IT Cloud Unstructured data 86

Collibra

DECEMBER 8, 2022

With the rise of the Internet at the turn of the 21st century, companies like Yahoo, Amazon, and Google started to analyze customer behavior via clickthrough rates, IP-specific location data, and search logs. HTTP-based web traffic drove a massive increase in structured and unstructured data. Today’s challenge: Trusted data.

Metadata 78

Metadata Unstructured data Government Big data 78

erwin

MARCH 26, 2020

However, some practical data management issues contribute to a growing need for enterprise data governance, including: Increasing data volumes that challenge the traditional enterprise’s ability to store, manage and ultimately find data. Improving data literacy. Simplifying data accessibility and use.

Unstructured data 90

Unstructured data Artificial Intelligence Analytics Access 90

IBM Big Data Hub

AUGUST 4, 2023

Data democratization instead refers to the simplification of all processes related to data, from storage architecture to data management to data security. It also requires an organization-wide data governance approach, from adopting new types of employee training to creating new policies for data storage.

Analytics 59

Analytics Artificial Intelligence Digital transformation Access 59