Collibra

DECEMBER 1, 2020

However, once you have a system of record in place for your data, your organization can implement many valuable data governance use cases more easily. . In this post, we’ll highlight the top three most valuable data governance use cases. The data structure and requirements are not defined until the data is needed.

Government 59

Government Analytics Marketing Unstructured data 59

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 93

Unstructured data Metadata Encryption Data structuring 93

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.” The goal here is to reduce costs and risks.

IT 188

IT Unstructured data Privacy Compliance 188

Thales Cloud Protection & Licensing

FEBRUARY 18, 2021

Brazil, the largest country in both South America and Latin America, released a data privacy law bringing new business opportunities, especially in the international domain. Additionally, organizations are obligated to report any data security incidents or breaches to Brazilian national authorities. Thu, 02/18/2021 - 08:05.

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Compliance Unstructured data Personal data Big data 98

Everteam

APRIL 2, 2019

To support organizations in their efforts to manage their information properly, Spigraph is making two Everteam governance products available: everteam.discover and everteam.policy: everteam.discover is a file and content analytics solution that connects to both structured and unstructured data repositories across the organization.

Information governance 40

Information governance Marketing Government Digital transformation 40

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

Everteam

JULY 10, 2019

GDPR outlines stringent requirements for data and privacy protection for EU and EEA citizens, but many organizations have struggled to fully understand much less implement compliance programs to meet these requirements. This week the cost of non-compliance with GDPR became much more concrete with the news that by the U.K.’s

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GDPR Compliance Unstructured data Data Privacy 75

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. 6 Regulation and Privacy.

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MDM IoT Customer Experience Unstructured data 98

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

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

Collibra

SEPTEMBER 2, 2020

Many organizations store their data in a data lake, which is a central repository that houses large volumes of raw data, including structured, semistructured and unstructured data. Typically, an organization’s data lake stores data from multiple different sources across the enterprise.

Unstructured data 59

Unstructured data Government Risk Access 59

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. See a Data Catalog in Action.

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

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

The Last Watchdog

NOVEMBER 4, 2021

Related: GDPR and the new privacy paradigm. Europe’s General Data Protection Regulations (GDPR) changed the game. 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.

Personal data 237

Personal data Unstructured data Privacy Data Privacy 237

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

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.

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Archiving Unstructured data Information governance Metadata 40

DLA Piper Privacy Matters

MAY 11, 2020

On May 4, the Californians for Consumer Privacy, led by founder Alastair Mactaggart, announced its submission to qualify the California Privacy Rights Act for the November 2020 ballot. Californians for Consumer Privacy has announced that it has collected about 900,000 signatures. Also on the state privacy law horizon.

Privacy 52

Privacy Unstructured data Access Data collection 52

IBM Big Data Hub

OCTOBER 30, 2023

Adopting AI in business at scale is not without its challenges, including data privacy concerns, integration complexities and the need for skilled personnel. Scaling AI in business presents unique challenges: Data accessibility : Fragmented and siloed data stifle advancement.

Analytics 78

Analytics Retail Cloud Insurance 78

AIIM

FEBRUARY 27, 2020

You may not know that we developed a 4-day Email Management class in 2008 or a 2-day Social Media Governance course in 2011. ECM (Specialist and Master) This course focuses on management of unstructured data using content repositories. How Often are AIIM's Training Courses Updated?

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ECM Records Management Metadata Information governance 116

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

Collibra

JULY 27, 2022

Sometimes companies are unable to derive deeper, actionable insights from the data because the data is inaccurate, not accessible, or secure. . Forward-looking companies use data intelligence to remedy these issues. Data intelligence combines factors from data quality and governance to metadata management.

Metadata 52

Metadata Artificial Intelligence Analytics Unstructured data 52

IG Guru

FEBRUARY 18, 2019

quintillion bytes of data created every day, challenges with unstructured data and an increasingly complex regulatory landscape prompts a need for change to the old approach to information management. Many complex analytical problems are unsolvable by human effort alone due to data volumes and complexity involved.

Artificial Intelligence 40

Artificial Intelligence Unstructured data Analytics Access 40

Reltio

JANUARY 28, 2021

IoT data could entirely transform supply chain management. Unstructured data in chats, phone calls, and videos are the new frontier to customer-centricity. Using either of these digital innovations requires an MDM platform with big data architecture that can capture all the interactions and transactions.

MDM 52

MDM Unstructured data Marketing Compliance 52

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. Key Differentiators. Key Differentiators.

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Encryption Computer and Electronics Cloud Passwords 132

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. OpenText™ Thrust Studio : CE 24.2

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. OpenText™ Thrust Studio : CE 24.2

Cloud 94

Cloud Analytics Digital transformation Customer Experience 94

Collibra

FEBRUARY 3, 2022

But these advantages can turn data lakes quickly into data swamps. . For example, unstructured data needs rapid processing to feed the analytical tools. Or choosing the relevant data requires insights into the data lineage. So why do these issues develop in data lakes?

Metadata 52

Metadata Analytics Unstructured data Government 52

Archives Blogs

NOVEMBER 16, 2018

Speaking at the industry-sponsored media event “ Accelerated AI: Shaping the Future of Government with Artificial Intelligence ” (11/13/2018), in Washington, D.C., Dr. Frincke argued that vast and growing sets of “noisy data” (volumes of structured and unstructured data), make AI indispensable to human analysts.

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Unstructured data Artificial Intelligence Government Communications 26

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

IBM Big Data Hub

JULY 6, 2023

Because data analysts often build machine learning models, programming and AI knowledge are also valuable. Data science use cases Data science is widely used in industry and government, where it helps drive profits, innovate products and services, improve infrastructure and public systems and more.

Data science 54

Data science Big data Analytics Mining 54

Thales Cloud Protection & Licensing

DECEMBER 8, 2020

Can visibility be the key to better privacy? Technology innovation creates business value for organizations, but also new challenges for data privacy and protection. However, in some cases, a serious downside occurs when privacy has been sacrificed to fast track the digital transformation. Wed, 12/09/2020 - 05:45.

Privacy 62

Privacy Digital transformation Data Privacy Risk 62

Everteam

APRIL 16, 2019

One of the most important elements of an information governance program is the proper classification of your data. A central, formal classification scheme is critical, especially when much of the information – structured and unstructured – is used in multiple departments or teams across the organization.

ROT 40

ROT Information governance Metadata Government 40

The Last Watchdog

JUNE 1, 2022

Concentric got its start in 2018 to help companies solve data sprawl — from the data security and governance perspective – and has grown to 50 employees, with $22 million in venture capital backing. Data is the foundational element. I had the chance to visit with Karthik Krishnan, CEO of San Jose, Calif.-based

Unstructured data 235

Unstructured data Sales Cloud Government 235

ARMA International

SEPTEMBER 22, 2021

This part will also discuss managing CS risks such as ransomware, privacy, change management, and user adoption. 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).

Digital transformation 52

Digital transformation Content services IT e-Discovery 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

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. Data Democratization Requires Data Intelligence.

Unstructured data 90

Unstructured data Artificial Intelligence Analytics Access 90