IBM Big Data Hub

APRIL 24, 2024

It replaces an earlier data protection law and implements many of the same rights, requirements, and penalties as its EU counterpart. The price tag can add up quickly. Privacy impact assessments Privacy impact assessments (PIAs) determine how much risk a particular activity poses to user privacy.

Risk 83

Risk Measurement Data Governance Insurance 83

IBM Big Data Hub

DECEMBER 19, 2023

The first post in this series navigates the complexities and uncovers the strategies and target state mode for achieving a seamless and effective pathway to deploy. We recommend a 4-stage roadmap for implementation, as shown in the figure below.

Testing 82

Testing Enterprise Modeling Software 82

Laminar Security

DECEMBER 13, 2023

The power of AI and data classification Data classification , often referred to as “tagging” or “labeling”, is a crucial process that categorizes data based on its type and sensitivity. Finally, there are technical challenges associated with implementing AI solutions. It helps in determining what data you have and its sensitivity.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

Cloudera

SEPTEMBER 23, 2020

Security assessment. The system provides all of the necessary information and components required to audit security, but the security assessment process is not fully automated. In this manner, the security posture of specific assets can be assessed across the platform. . Security levels. Database object security. Conclusion.

Data Lake 80

Data Lake Metadata IoT Enterprise 80

erwin

MAY 18, 2022

Built on the Gartner-recognized DQLabs augmented data quality platform, erwin Data Intelligence’s new data quality offering provides erwin Data Intelligence customers with the ability to leverage erwin Data Catalog metadata to initiate a need for data quality assessment. automates data profiling and quality assessment.

Data Quality 52

Data Quality Metadata Data Governance Software 52

Ontotext

JULY 6, 2023

Tagging and Recommendations The Tagging and Recommendations use case is geared towards traditional content management and enables better asset management, improved user experience and operational costs reduction. As a fully managed software service, Ontotext’s solution provides seamless and hassle-free implementation and maintenance.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

CDW Research Hub

MAY 26, 2021

To ensure that calls to 988 reach the National Suicide Prevention Lifeline, all covered providers will be required to implement call routing for 988 and require 10-digit dialing nationwide to avoid a potential overlap with seven-digit phone numbers that begin with 988. Phone system operators may begin to implement these changes today.

Consulting 52

Consulting IT Technology 52

datapine

AUGUST 19, 2020

Inventory metrics are indicators that help you monitor, measure, and assess your performance – and thus, give you some keys to optimize your processes as well as improve them. d) Implement quality control. Last but not least, quality control is of utmost importance for any business, and should be implemented as early as possible.

Metrics 286

Metrics KPI Cost-Benefit Dashboards 286

Alation

SEPTEMBER 9, 2021

Tagging data types. With appropriate tagging, data governance helps you meet compliance requirements by establishing appropriate security and access controls. After implementing a data catalog, analysts have access to a full documentation engine, a consistent interface, and a search and discovery function.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

Cloudera

SEPTEMBER 28, 2020

Upgrade planning, process, and implementation: The customer engaged Cloudera Professional services to perform deep analysis and support of the upgrade. Post upgrade steps needed queue migration are reconfigure ACLs of queues, fine-tune scheduler queues using new Queue Manager UI. Phase 4: Implementation. Release Notes.

Testing 130

Testing Metadata Risk Data Science 130

Alation

OCTOBER 5, 2021

Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols. However, about 50% of those surveyed also admit that they do not assess, monitor, or measure their data governance systems. Subscribe to Alation's Blog. Why is your data governance strategy failing?

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Cloudera

SEPTEMBER 17, 2018

We have implemented ways that will expedite data discovery as well as exploration. Once you found your datasets of interest, there are easy ways to tag them, so that you at next visit can find them immediately – the search functionality also covers tags! Data Discovery and Exploration. Query Design. Optimization.

Data Warehouse 52

Data Warehouse Optimization Visualization Unstructured Data 52

datapine

NOVEMBER 19, 2019

When social media and social networking is implemented within the Business Intelligence environment, business users can share, rate, discuss, and learn from others. For example, users of social media show their support towards a post through ‘likes’ and encouraging comments or reposts. Rachael Chapman: A Complete gamer and a Tech Geek.

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

IBM Big Data Hub

JANUARY 16, 2024

They’re smaller to implement, don’t require consensus, are generally lower in acquisition cost and are usually easier to understand because they address only one problem. Developing and maintaining custom linkages often comes with a high price tag and usually doesn’t provide competitive benefits.

Management 89

Management Cost-Benefit Finance Optimization 89

datapine

JUNE 7, 2021

As a website owner, you might already be implementing several digital marketing and SEO strategies to drive performance through your website. While tracking this metric, you need to assess whether you are targeting the right keywords for your website and if not, then include high-performing new keywords to attract more traffic organically.

Metrics 205

Metrics Optimization KPI Visualization 205

AWS Big Data

JANUARY 22, 2024

This post is written in collaboration with Claudia Chitu and Spyridon Dosis from ACAST. In this post, we discuss how Acast overcame the challenge of coupled dependencies between teams working with data at scale by employing the concept of a data mesh. The solution Acast implemented is a data mesh, architected on AWS.

Data-driven 85

Data-driven Advertising Metadata Data Architecture 85

Occam's Razor

AUGUST 22, 2022

The post-campaign analysis that compares performance across Test & Control cells shows that Trust did not move at all. Be sure to save the summary visual at the end for implementing it in your company/agency. For brand marketing, you and I assess success using a question we ask consumers. It could not be clearer. Example 4.

KPI 105

KPI Metrics Measurement Marketing 105

Cloudera

OCTOBER 18, 2022

As we started to assess the impact of the global pandemic, this $25 million offered a tangible opportunity to cut out waste and save money. We were also able to attribute indirect costs, such as network charges, by joining this data back to instance data that was already tagged, a feature lacking in the SaaS product.

IT 84

IT Data Warehouse Dashboards Visualization 84

IBM Big Data Hub

MARCH 22, 2024

A proactive approach for defects involves implementing robust testing methodologies, such as shift-left testing, where testing activities are initiated earlier in the development process. Defect Predict (IDP): Assesses and predicts defect trend in a test cycle aiding better planning and test management.

Testing 83

Testing Optimization Software Risk 83

AWS Big Data

OCTOBER 4, 2023

This blog post is co-written with Govind Mohan and Kausik Dhar from Cognizant. In this post, we describe how Cognizant’s Data & Intelligence Toolkit (CDIT)- ETL Conversion Tool can help you automatically convert legacy ETL code to AWS Glue quickly and effectively.

Data Warehouse 59

Data Warehouse Cost-Benefit Metadata Data Lake 59

CDW Research Hub

JULY 22, 2022

Tag-Based Data Masking. Snowflake’s new tag-based masking policies add a much-needed functionality change that enables easier use, future capabilities, and less overall code to maintain. Policy administrators can create a policy for each data type and assign all of those policies to a single tag. Native Application Framework.

Data Lake 84

Data Lake Data Governance Consulting Machine Learning 84

Cloudera

MAY 2, 2022

This is not just to implement specific governance rules — such as tagging, metadata management, access controls, or anonymization — but to prepare for the potential for rules to change in the future. . The post Choose Compliance, Choose Hybrid Cloud appeared first on Cloudera Blog.

Data Architecture 97

Data Architecture Metadata Digital Transformation Finance 97

IBM Big Data Hub

NOVEMBER 29, 2023

IBM Cloud for Financial Services fulfills that requirement by providing an end-to-end security and compliance framework that can be used to implement and/or modernize applications securely across the hybrid cloud. Each component or BIAN Service Domain is implemented through a microservice, which is deployed on an OCP cluster on IBM Cloud.

Testing 100

Testing Dashboards Risk Data Processing 100

Occam's Razor

DECEMBER 12, 2016

In a world when your work will never be done, how do you assess that the core things necessary are present? " That lead to this post. At the end of this post, I'll share the two that I recommended to the team in our conversation above. Google Tag Manager. Seven gosh darn months! So beautiful. is lovely.

Analytics 141

Analytics Data-driven Strategy Consulting 141

IBM Big Data Hub

JULY 13, 2023

Data integrity To achieve a high level of data integrity, an organization implements processes, rules and standards that govern how data is collected, stored, accessed, edited and used. How to determine data quality Data quality analysts will assess a dataset using dimensions listed above and assign an overall score.

Data Quality 68

Data Quality Data Integration Metadata Cost-Benefit 68

Cloudera

SEPTEMBER 4, 2018

In addition, Accenture can deliver end-to-end big data solutions built on Cloudera at scale, while its prebuilt accelerators and solutions, developed on Cloudera, can help shorten the GDPR implementation lifecycle. The post Heralding a new era in GDPR compliance with Accenture and Cloudera appeared first on Cloudera Blog.

Metadata 45

Metadata Digital Transformation Machine Learning Enterprise 45

Jet Global

JULY 11, 2019

In this blog post, we are going to cover the role of business intelligence in demand forecasting, an area of predictive analytics focused on customer demand. BI software is built to collect, unify, sort, tag, analyze, and report on vast amounts of data. Read the Blog Post. Demand forecasting relies on data.

Business Intelligence 72

Business Intelligence Forecasting Predictive Analytics Data Warehouse 72

DataRobot Blog

FEBRUARY 15, 2023

When you have messy data coming from all over the place, you need a powerful AI platform in order to move forward and implement your AI. In such a hot market, how can teams leverage AI to ensure that they are assessing the right values in their respective markets? After training a model, it is important to assess its fairness.

Modeling 52

Modeling Machine Learning Cost-Benefit Metrics 52

CDW Research Hub

SEPTEMBER 9, 2020

However, that high performance can also come with a high price tag. With proper assessment and implementation, optimized storage can translate to significant cost savings and better-performing storage infrastructure in the long run. High-performance flash storage is quickly becoming the norm for many modernized data centers.

Optimization 52

Optimization ROI Cost-Benefit Interactive 52

Alation

JANUARY 25, 2022

In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. In this blog, we will focus on the “integrated layer” part of this definition by examining each of the key layers of a comprehensive data fabric in more detail. Social signals around data are powerful.

Metadata 52

Metadata IT Metrics Data-driven 52

Jet Global

OCTOBER 1, 2019

In this blog post, we are going to cover the role of business intelligence in demand forecasting, an area of predictive analytics focused on customer demand. BI software is built to collect, unify, sort, tag, analyze, and report on vast amounts of data. Read the Blog Post. Demand forecasting relies on data.

Business Intelligence 40

Business Intelligence Forecasting Predictive Analytics Data Warehouse 40

Occam's Razor

FEBRUARY 7, 2022

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. This blog post was originally published as an edition of my newsletter TMAI Premium. It truly is the bee's knees. I truly do. What can I say.

Experimentation 101

Experimentation Testing Optimization Marketing 101

IBM Big Data Hub

APRIL 21, 2023

This tagging approach is one of the ways organizations can adopt specific approaches to regain control of their data from automated ESG valuations undertaken by agencies, with alternate options outlined in this guide. The practice is on an upward trend and is now tangibly reflected in the new ESRS as a reporting requirement.

Reporting 44

Reporting Metrics Risk Strategy 44

Occam's Razor

AUGUST 13, 2012

I'll answer those questions, and more, in this post. I'm going to try, really hard, and be cogent in my replies to ensure this does not end up being a super long post. " While reading the entire post will be of value (and ensure world peace), you're welcome to jump to the section that sounds most appealing.

Modeling 124

Modeling Metrics Data Quality Data-driven 124

Laminar Security

OCTOBER 17, 2023

Data Classification: Sometimes referred to as “tagging” or “labeling” the data, this process helps you determine what data you have and its sensitivity. Between these two processes, you’ll have most of what you need to assess risks and make informed decisions, including: What type of data you actually have (i.e.,

IT 94

IT Risk Cost-Benefit Dashboards 94

Alation

NOVEMBER 11, 2021

Therefore, the question is not if a business should implement cloud data management and governance, but which framework is best for them. For example, a data catalog will identify metadata and structural changes in a data source and then automatically perform discovery, profiling, and classification tagging.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

Alation

MARCH 17, 2021

An MLDC maps data sources and origin; so, should a problem arise, users can check data lineage to assess quality and spot other related errors. Because the data is centralized, each catalog improvement allows for enterprise-wide implementation. Subscribe to Alation's Blog. The post What is a Machine Learning Data Catalog?

Machine Learning 52

Machine Learning Metadata Data Governance Interactive 52