Alation

NOVEMBER 11, 2021

As IT leaders oversee migration, it’s critical they do not overlook data governance. Data governance is essential because it ensures people can access useful, high-quality data. Therefore, the question is not if a business should implement cloud data management and governance, but which framework is best for them.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

CIO Business Intelligence

JANUARY 24, 2024

At Vanguard, “data and analytics enable us to fulfill on our mission to provide investors with the best chance for investment success by enabling us to glean actionable insights to drive personalized client experiences, scale advice, optimize investment and business operations, and reduce risk,” Swann says.

Data Strategy 135

Data Strategy Strategy Unstructured Data Data Governance 135

Cloudera

MAY 9, 2023

Cloudera Data Platform (CDP) will enable SoftBank to increase resources flexibly as needed and adjust resources to meet business needs. In addition, it has functions to review and update user access controls regularly as part of data governance.

Data Lake 89

Data Lake IoT Data Governance Data Strategy 89

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Alation

MAY 16, 2023

What is a Data Pipeline? A data pipeline is a series of processing steps that move data from its source to its destination. The various steps along the pipeline involve transforming, optimizing, cleaning, filtering, integrating, and aggregating the data. The end result is data that is ready to be analyzed.

Data Lake 69

Data Lake Data Governance Data Warehouse Data Processing 69

Cloudera

SEPTEMBER 29, 2021

The Indian government has also been working towards going digital with the launch of Digital India in 2015, a campaign that sought to provide access to government services electronically. This data allows the government to have a deeper understanding of the initiatives that it launches and their impact. .

Digital Transformation 81

Digital Transformation Data Governance Data-driven Uncertainty 81

CIO Business Intelligence

MARCH 8, 2023

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

Manufacturing 84

Manufacturing Business Objectives Cost-Benefit Optimization 84

CIO Business Intelligence

AUGUST 5, 2022

Enterprises driving toward data-first modernization need to determine the optimal multicloud strategy, starting with which applications and data are best suited to migrate to cloud and what should remain in the core and at the edge. A hybrid approach is clearly established as the optimal operating model of choice.

IT 93

IT Manufacturing Business Objectives Cost-Benefit 93

IBM Big Data Hub

MARCH 26, 2024

A company cannot report on scope 3 category 7 of employee commute without employee data from HR or facilities management data, or without the technology platform and data governance to have an auditable view of that data.

Measurement 63

Measurement Metrics Strategy Reporting 63

bridgei2i

MARCH 11, 2021

Easily understandable, highly curated, and reliable data helps Machine Learning (ML) tools evolve. As long as small businesses don’t have efficient data governance strategies, they can’t properly use AI and ML-powered tools. What is a Data Governance Strategy? They have access to large amounts of data.

Key Performance Indicator 52

Key Performance Indicator Data Governance Data Lake Metadata 52

Alation

MARCH 17, 2021

According to the Forrester Wave: Machine Learning Data Catalogs, Q4 2020 , “Alation exploits machine learning at every opportunity to improve data management, governance, and consumption by analytic citizens. An MLDC brings many benefits, like: Enhanced data management. Data governance streamlining.

Machine Learning 52

Machine Learning Metadata Data Governance Interactive 52

Cloudera

AUGUST 12, 2021

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Collecting workforce data as a tool for talent management. One of the more obvious use cases of data’s role in reducing risk is insurance policies. Risk Management.

Data-driven 109

Data-driven Manufacturing Insurance Risk Management 109

Alation

MAY 16, 2023

What is a Data Pipeline? A data pipeline is a series of processing steps that move data from its source to its destination. The various steps along the pipeline involve transforming, optimizing, cleaning, filtering, integrating, and aggregating the data. The end result is data that is ready to be analyzed.

Data Lake 40

Data Lake Data Governance Data Warehouse Data Processing 40

Alation

AUGUST 26, 2021

It asks much larger questions, which flesh out an organization’s relationship with data: Why do we have data? Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more.

Metadata 64

Metadata Data Governance Dashboards Software 64

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.

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62

O'Reilly on Data

JULY 28, 2020

If this sounds fanciful, it’s not hard to find AI systems that took inappropriate actions because they optimized a poorly thought-out metric. CTRs are easy to measure, but if you build a system designed to optimize these kinds of metrics, you might find that the system sacrifices actual usefulness and user satisfaction.

Marketing 361

Marketing Experimentation Metrics Testing 361

erwin

JUNE 11, 2020

Data intelligence transforms the way industries operate by enabling businesses to hasten the process of analyzing and understanding the derived information with its more understandable models and aggregated trends. UPS employed the Orion route optimization system and was able to cut down 364 million miles from its routes globally.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

IBM Big Data Hub

JANUARY 19, 2023

The key to differentiation comes in getting data protection right, as part of an overall data strategy. Keep reading to learn how investing in the right data protection supports and optimizes your brand image. A lot of organizations aren’t as mature in this area of data ethics.

Risk Management 60

Risk Management Risk Strategy Data Strategy 60

O'Reilly on Data

DECEMBER 19, 2018

We won’t be writing code to optimize scheduling in a manufacturing plant; we’ll be training ML algorithms to find optimum performance based on historical data. With machine learning, the challenge isn’t writing the code; the algorithms are implemented in a number of well-known and highly optimized libraries.

Machine Learning 258

Machine Learning Software Metadata Testing 258

Jet Global

MARCH 13, 2019

Early ‘mobile’ implementations of BI software were poorly executed, essentially porting desktop versions of software to mobile screens, with less-than-optimal results. Data Governance. Find the Best BI Software for Your Business.

Business Intelligence 85

Business Intelligence Data Science Software Enterprise 85

datapine

FEBRUARY 22, 2022

In the article, he pointed to a pretty fascinating trend: “Experian has predicted that the CDO position will become a standard senior board-level role by 2020, bringing the conversation around data gathering, management, optimization, and security to the C-level.” We love that data is moving permanently into the C-Suite.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

FEBRUARY 8, 2022

Middlemen — data engineering or IT teams — can’t possibly possess all the expertise needed to serve up quality data to the growing range of data consumers who need it. As data collection has surged, and demands for data have grown in the enterprise, one single team can no longer meet the data demands of every department.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Cloudera

FEBRUARY 16, 2022

We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle. So, we have workspaces, projects and sessions in that order.

Machine Learning 83

Machine Learning Modeling Metadata Recreation/Entertainment 83

FineReport

MAY 31, 2023

Contemporary dashboards surpass basic visualization and reporting by utilizing financial analytics to amalgamate diverse financial and accounting data, empowering analysts to delve further into the data and uncover valuable insights that can optimize cost-efficiency and enhance profitability.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Alation

FEBRUARY 20, 2020

Not only can resources be quickly provisioned and optimized for different workloads and processing needs, but it can be done cost effectively. With an on-premise deployment, enterprises have full control over data security, data access, and data governance.

Data Lake 52

Data Lake ROI Metadata Cost-Benefit 52

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Alation

AUGUST 2, 2022

Legacy technologies, siloed data, and manual processes make securing data and protecting privacy much more expensive and risky. After investing to develop these critical customer insights, a security breach can quickly damage trust and compromise the value of that data. Collaborating with another team to accelerate the plan.

Strategy 52

Strategy Cost-Benefit Metrics Data Lake 52

Andrew White

JANUARY 9, 2022

Could you precise to which complementary research you mentioned when you talked about a data governance survey ? – Here is the one I mentioned during the webinar: The State of Data and Analytics Governance Is Worse Than You Think. – Data (and analytics) governance remains a challenge.

Analytics 64

Analytics Measurement Modeling Data-driven 64