AWS Big Data

FEBRUARY 27, 2024

Four-layered data lake and data warehouse architecture – The architecture comprises four layers, including the analytical layer, which houses purpose-built facts and dimension datasets that are hosted in Amazon Redshift. AWS services like AWS Lake Formation in conjunction with Atlan help govern data access and policies.

Data-driven 96

Data-driven Data Lake Data Quality Data Governance 96

CIO Business Intelligence

APRIL 11, 2024

Oracle Cloud Infrastructure is now capable of hosting a full range of traditional and modern IT workloads, and for many enterprise customers, Oracle is a proven vendor,” says David Wright, vice president of research for cloud infrastructure strategies at research firm Gartner. The inherent risk is trust.

Enterprise 117

Enterprise IT Data Processing Strategy 117

erwin

APRIL 16, 2024

In this blog, we’ll delve into the critical role of governance and data modeling tools in supporting a seamless data mesh implementation and explore how erwin tools can be used in that role. erwin also provides data governance, metadata management and data lineage software called erwin Data Intelligence by Quest.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

Octopai

MAY 15, 2023

How can you save your organizational data management and hosting cost using automated data lineage. Do you think you did everything already to save organizational data management costs? What kind of costs organization has that data lineage can help with? Well, you probably haven’t done this yet!

Data Quality 52

Data Quality Data Governance Data Integration Risk 52

erwin

MARCH 25, 2021

erwin recently hosted the second in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Led by Frank Pörschmann of iDIGMA GmbH, an IT industry veteran and data governance strategist, the second webinar focused on “ The Value of Data Governance & How to Quantify It.”.

Data Governance 109

Data Governance IT Cost-Benefit Risk 109

Cloudera

SEPTEMBER 7, 2023

But it’s also fraught with risk. This June, for example, the European Union (EU) passed the world’s first regulatory framework for AI, the AI Act , which categorizes AI applications into “banned practices,” “high-risk systems,” and “other AI systems,” with stringent assessment requirements for “high-risk” AI systems.

Insurance 81

Insurance Risk Data-driven Finance 81

IBM Big Data Hub

MAY 15, 2024

Business leaders risk compromising their competitive edge if they do not proactively implement generative AI (gen AI). Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges.

Cost-Benefit 69

Cost-Benefit Data Integration Data Architecture Manufacturing 69

DataKitchen

FEBRUARY 21, 2023

Overview of Gartner’s data engineering enhancements article To set the stage for Gartner’s recommendations, let’s give an example of a new Data Engineering Manager, Marcus, who faces a whole host of challenges to succeed in his new role: Marcus has a problem. are more efficient in prioritizing data delivery demands.”

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

IBM Big Data Hub

MAY 9, 2023

Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. But these powerful technologies also introduce new risks and challenges for enterprises. Data: the foundation of your foundation model Data quality matters.

Enterprise 129

Enterprise Technology Modeling Cost-Benefit 129

CIO Business Intelligence

JANUARY 30, 2024

“Always the gatekeepers of much of the data necessary for ESG reporting, CIOs are finding that companies are even more dependent on them,” says Nancy Mentesana, ESG executive director at Labrador US, a global communications firm focused on corporate disclosure documents. There are several things you need to report attached to that number.”

Reporting 93

Reporting Data Quality Strategy Data-driven 93

erwin

JULY 22, 2020

Fostering organizational support for a data-driven culture might require a change in the organization’s culture. Recently, I co-hosted a webinar with our client E.ON , a global energy company that reinvented how it conducts business from branding to customer engagement – with data as the conduit. As an example, E.ON

Data-driven 136

Data-driven Data Governance Digital Transformation Enterprise 136

CIO Business Intelligence

JANUARY 20, 2023

Doing it right requires thoughtful data collection, careful selection of a data platform that allows holistic and secure access to the data, and training and empowering employees to have a data-first mindset. Security and compliance risks also loom. So an organization should decide what’s most important, he says.

Data Lake 119

Data Lake Data-driven Finance Data Architecture 119

Laminar Security

DECEMBER 1, 2023

Cloud data security is one of the most critical, yet most challenging aspects of doing business in the age of cloud. As more organizations migrate their data to the cloud, they face an increasing range of risks and threats, including data breaches, data leakage, data loss, data misuse, data compliance violations, shadow data and more.

Modeling 52

Modeling Cost-Benefit Risk Data-driven 52

Alation

JULY 6, 2021

There are new ways to quickly and effectively overcome these data governance challenges. A person or team with influence must take responsibility for reducing data governance risks. They should have resources, tools for connectivity and integration, and insights into data usage and needs. No Data Leadership.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

CIO Business Intelligence

AUGUST 30, 2022

When a large organization depends on a highly customized ERP system, any change invites a host of potential perils from go-live failures to endless testing cycles. The process is risky enough when upgrading a single legacy ERP – with two , the risks more than double. Doubling down on risky business. The Strategy – ESOAR lets Sony roar.

Recreation/Entertainment 73

Recreation/Entertainment IT Finance Strategy 73

CIO Business Intelligence

SEPTEMBER 2, 2022

When a large organization depends on a highly customized ERP system, any change invites a host of potential perils from go-live failures to endless testing cycles. The process is risky enough when upgrading a single legacy ERP – with two , the risks more than double. Doubling down on risky business. The Strategy – ESOAR lets Sony roar.

Recreation/Entertainment 71

Recreation/Entertainment IT Finance Strategy 71

DataRobot Blog

FEBRUARY 11, 2022

DataRobot’s MLOps product offers a host of features designed to transform organizations’ user experience, firstly, through its model-monitoring agents. This second part will dive deeper into DataRobot’s Machine Learning Operations capability, and its transformative effect on the machine learning lifecycle. DataRobot’s Robust ML Offering.

Machine Learning 52

Machine Learning Cost-Benefit ROI Data Processing 52

O'Reilly on Data

DECEMBER 12, 2019

1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML. That’s where model debugging comes in. Sensitivity analysis.

Machine Learning 187

Machine Learning Modeling Testing Risk Management 187

AWS Big Data

JULY 20, 2023

Orca Security is an industry-leading Cloud Security Platform that identifies, prioritizes, and remediates security risks and compliance issues across your AWS Cloud estate. Moreover, running advanced analytics and ML on disparate data sources proved challenging.

Data Lake 89

Data Lake Analytics Snapshot Optimization 89

Alation

JUNE 23, 2023

This enhanced partnership allows users to gain a deeper comprehension of their data environment , enabling them to observe the fundamental modifications and transformations within their data, ultimately empowering them with invaluable data intelligence. Attending Databricks Data+AI Summit?

Data-driven 52

Data-driven Data Processing Data Quality Enterprise 52

erwin

APRIL 16, 2021

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. Click here to read our success story on how E.ON

Data Governance 128

Data Governance Metadata Cost-Benefit Digital Transformation 128

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Sisense

AUGUST 28, 2020

Uncomfortable truth incoming: Most people in your organization don’t think about the quality of their data from intake to production of insights. However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is. Data integrity risks.

Data Integration 101

Data Integration Testing Data Quality Data-driven 101

CIO Business Intelligence

MAY 20, 2022

National Grid is a big Microsoft Azure cloud customer due to its secure, proprietary nature, says Karaboutis, and is using a bevy of leading-edge tools, from Snowflake, Azure, and Matallion ETL for data tooling, Informatica for data quality, Reltio for master data management, and Blue Prism for RPA, to name a few.

IT 88

IT Digital Transformation Internet of Things Data Architecture 88

datapine

DECEMBER 17, 2019

But in this digital age, dynamic modern IT reports created with a state-of-the-art online reporting tool are here to help you provide viable answers to a host of burning departmental questions. The purpose is not to track every statistic possible, as you risk being drowned in data and losing focus.

Reporting 173

Reporting IT Key Performance Indicator Dashboards 173

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Clean data in, clean analytics out. Cleaning your data may not be quite as simple, but it will ensure the success of your BI. Indeed, every year low-quality data is estimated to cost over $9.7

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Jet Global

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Alation

MAY 19, 2022

Gartner Data & Analytics Summit 2022: Keynote Highlights. A Gartner survey found that 57% of Boards of Directors have increased their risk appetites, and data & analytics are fueling more risky (and potentially rewarding) projects. Leaders agree: Data needs to drive business results. action, dramatically.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

IBM Big Data Hub

DECEMBER 4, 2023

Clearly define the objective of the implementation project and determine its scope, timeline and budget as well as create a risk management plan. This is also the time to determine which data will be migrated, as some older data may be best stored in a secure archive. Check that the data conforms to the dedicated data hierarchy.

Testing 74

Testing Consulting Digital Transformation Cost-Benefit 74

datapine

MARCH 27, 2019

Customer data management is the key to sustainable commercial success. Here, we’ll explore customer data management, offering a host of practical tips to help you embrace the power of customer data management software the right way. What Is Customer Data Management (CDM)? Net Promoter Score. Customer Effort Score.

Management 129

Management Data-driven Dashboards Visualization 129

IBM Big Data Hub

DECEMBER 20, 2023

Without an AI strategy, organizations risk missing out on the benefits AI can offer. Whether it’s deeper data analysis, optimization of business processes or improved customer experiences , having a well-defined purpose and plan will ensure that the adoption of AI aligns with the broader business goals.

Strategy 73

Strategy Business Objectives Cost-Benefit Consulting 73

Jet Global

AUGUST 24, 2023

Reasons for Lingering On-Premises Many companies are willing to experiment with the cloud in other parts of their business, but they feel that they can’t put the quality, consistency, security, or availability of financial data in jeopardy. Thus, finance data remains on-premises.

Finance 52

Finance Reporting Data Integration Risk 52

Alation

NOVEMBER 23, 2021

However it’s defined, data governance is among the hottest topics in data management. Organizations don’t need to spend a lot of money to get data governance. They can improve data quality, security and risk management without the need for an expensive big-bang project.

Data Governance 52

Data Governance Data-driven Data Processing Consulting 52

Alation

NOVEMBER 28, 2022

It is also hard to know whether one can trust the data within a spreadsheet. And they rarely, if ever, host the most current data available. Sathish Raju, cofounder & CTO, Kloudio and senior director of engineering, Alation: This presents challenges for both business users and data teams.

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

Alation

OCTOBER 28, 2021

Leaders are asking how they might use data to drive smarter decision making to support this new model and improve medical treatments that lead to better outcomes. Yet this is not without risks. To make good on this potential, healthcare organizations need to understand their data and how they can use it.

Data Governance 52

Data Governance Measurement Metrics Modeling 52

Domino Data Lab

OCTOBER 1, 2020

It allows compliance to not only govern what information can be accessed, but also to audit and have visibility into how the data is actually being accessed – when, by who, through what tools, how much data was viewed, etc. So what does this look like?

Enterprise 105

Enterprise Metadata Cost-Benefit Data Processing 105

O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. Those cutting-edge ideas are also attractive, both to managers who don’t understand the risks and to developers who want to try something that’s really challenging.

Management 327

Management Machine Learning Experimentation Metrics 327