erwin

SEPTEMBER 17, 2020

Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. The importance of end-to-end data lineage is widely understood and ignoring it is risky business.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

CIO Business Intelligence

APRIL 4, 2024

Leveraging expertise at software developer Palantir Technologies, Redmond’s team developed a model that consolidated and cleansed the data from those systems, then analyzed it to provide insights — and fairly sophisticated recommendations — to decision makers. On-time delivery has improved substantially,” she says.

Enterprise 128

Enterprise Cost-Benefit Forecasting Strategy 128

Octopai

FEBRUARY 24, 2021

Change is usually incremental: migrating all that data is a slow process, not done all at once so you inevitably have your foot in the old system and the new one at the same time – for a loooooong time. Data and metadata are the glue that connects all these different hybrid system components. The Magic of Data Lineage.

Metadata 84

Metadata Reporting Data Governance Management 84

Alation

NOVEMBER 28, 2022

Alation is excited to unveil Alation Connected Sheets , a new product that brings trusted, fresh data directly to spreadsheet users. Now, “spreadsheet jockeys” can pull the most current, compliant data directly from a range of cloud sources, without having to know SQL or depend on a data team to deliver it.

Descriptive Analytics 52

Descriptive Analytics Risk Sales Data-driven 52

Alation

AUGUST 18, 2022

How do you approach data lineage? We all know that data lineage is a complex and challenging topic. In this blog, I am drilling into something I’ve been thinking about and studying for a long time: fundamental approaches to lineage creation and maintenance. What Is Data Lineage Creation & Maintenance?

Metadata 69

Metadata Visualization Statistics Data Architecture 69

erwin

APRIL 29, 2020

Data lineage is the journey data takes from its creation through its transformations over time. Tracing the source of data is an arduous task. With all these diverse data sources, and if systems are integrated, it is difficult to understand the complicated data web they form much less get a simple visual flow.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

Octopai

JULY 9, 2020

Your Guide to Machine Learning Data Lineage for BI: From Source to Target. Too often, data lineage is considered a linear course that does little more than reveal the route data took to arrive at its final destination. Sick of all the manual mapping required to sort out inconsistencies in your data?

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

DataKitchen

JUNE 19, 2023

Our recent survey showed that 97% of data engineers report experiencing burnout in their day-to-day jobs. Given the complicated distributed systems we use to get value from data and the diversity of data, we need a simplifying framework. That idea is the Data Journey.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

Ontotext

FEBRUARY 12, 2024

In the final part of this three-part series, we’ll explore ho w data mesh bolsters performance and helps organizations and data teams work more effectively. Usually, organizations will combine different domain topologies, depending on the trade-offs, and choose to focus on specific aspects of data mesh.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

CIO Business Intelligence

NOVEMBER 22, 2022

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

Octopai

OCTOBER 22, 2020

Where did the data in this report come from? Whether it be banking, healthcare, education, or SaaS, companies constantly wonder about the validity of their data. So, how can BI and analytics teams truly prove that the data can be trusted? Increase Trust and Reliance in Data. What is the data’s quality?

Visualization 60

Visualization Data-driven Strategy Reporting 60

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

Octopai

DECEMBER 30, 2020

In the financial industry, data lineage (i.e Here Are the Top 5 Reasons Why Financial Institutions Need Automated Data Lineage. It’s no small matter for your clients to trust your institution with their finances. A strong data lineage solution is a critical partner in this effort. It’s not a joke.

Finance 63

Finance Reporting Modeling Risk 63

Octopai

AUGUST 19, 2020

Under the new normal of remote work, companies face the challenge of connecting all people, processes, and data from a cloud-based system. After all, BI teams answer questions about data every single day; the pandemic hasn’t changed that. Business intelligence (BI) is no exception. Remote work demands cloud automation.

Metadata 98

Metadata Digital Transformation Management Business Intelligence 98

IBM Big Data Hub

MAY 9, 2022

A confluence of events in the data management and AI landscape is bearing down on companies, no matter their size, industry or geographical location. Some of these, such as the continued sprawl of data across multicloud environments have been looming for years, if not decades. That solution is the data fabric.

Management 57

Management Data Quality Metadata Data Integration 57

erwin

OCTOBER 16, 2020

It’s certainly no secret that data has been growing in volume, variety and velocity, and most companies are overwhelmed by managing it, let alone harnessing it to put it to work. quintillion bytes of data every day, and 90% of the world’s data volume has been created in the past two years alone. Where is the data?

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

Octopai

SEPTEMBER 19, 2021

And, of course, selecting which data catalog software to invest in. While we can’t relieve your analysis paralysis when it comes to Netflix, frozen desserts or your wardrobe, we’d love to help you out when it comes to data catalog analysis. The average company has over 100K data assets. Okay, maybe Day 2.)

Metadata 53

Metadata Reporting Software Enterprise 53

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 101

Data Lake Management Metrics Data Warehouse 101

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 Quality Data-driven Data Governance 52

Cloudera

MARCH 22, 2023

Cloudera Data Platform (CDP) is no different: it’s a hybrid data platform that meets organizations’ needs to get to grips with complex data anywhere, turning it into actionable insight quickly and easily. And, crucial for a hybrid data platform, it does so across hybrid cloud. That’s where observability comes in.

Metrics 85

Metrics Data Governance Cost-Benefit Dashboards 85

CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Octopai

JANUARY 25, 2021

As everyone either knows or has unfortunately experienced first-hand, data theft is a serious problem in the digital age. This is especially true for healthcare data. Healthcare data contains all of your personal information in one, easy-to-find file, which is why it’s the most targeted industry for cyberattacks.

Insurance 52

Insurance Metadata Statistics Reporting 52

Octopai

MAY 31, 2022

Why on earth do you want to manage your data? The need for data management is a given. Data management for BI is different than data management for other reasons and, correspondingly, needs a different set of tools. Data as an asset vs. data as a liability. These two types of data management (i.e.

Management 52

Management Metadata Business Intelligence ROI 52

Cloudera

DECEMBER 3, 2021

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. Surely there are ways to comb through the data to minimise the risks from spiralling out of control. An AI system trained on data has no context outside of that data.

Uncertainty 98

Uncertainty Measurement Metrics Modeling 98

Cloudera

JUNE 26, 2023

Here are some tips and tricks of the trade to prevent well-intended yet inappropriate data engineering and data science activities from cluttering or crashing the cluster. For data engineering and data science teams, CDSW is highly effective as a comprehensive platform that trains, develops, and deploys machine learning models.

Testing 76

Testing Data Processing Visualization Data Science 76

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 Avoiding Hurdles.

Data-driven 136

Data-driven Data Governance Digital Transformation Enterprise 136

Cloudera

FEBRUARY 18, 2021

These are prominent concerns because of increasing regulatory pressure, but also due to how rapidly data volume is growing due to sensors, third-party aggregators, and other alternative sources. Here I’ll comment on a few of the data and analytics-focused trends we see that will impact insurers in 2021 and beyond. .

Insurance 105

Insurance Digital Transformation Risk Data-driven 105

DataKitchen

MAY 10, 2021

Data errors impact decision-making. Data errors infringe on work-life balance. Data errors also affect careers. If you have been in the data profession for any length of time, you probably know what it means to face a mob of stakeholders who are angry about inaccurate or late analytics.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Alation

APRIL 19, 2021

The cloud supports this new workforce, connecting remote workers to vital data, no matter their location. Data Cloud Migration Challenges and Solutions. Cloud migration is the process of moving enterprise data and infrastructure from on premise to off premise. However, cloud data migration can be difficult.

Cost-Benefit 111

Cost-Benefit Strategy Enterprise Data Strategy 111

DataRobot

NOVEMBER 16, 2021

Laying an MLOps foundation allows data, development, and production teams to work collaboratively and leverage automation to deploy, monitor, and govern machine learning services and initiatives within an organization. Advanced capabilities may include features built to increase trust toward models in production even further.

Cost-Benefit 98

Cost-Benefit Machine Learning Modeling Risk 98

erwin

SEPTEMBER 19, 2019

Data governance isn’t a one-off project with a defined endpoint. Data governance, today, comes back to the ability to understand critical enterprise data within a business context, track its physical existence and lineage, and maximize its value while ensuring quality and security. Passing the Data Governance Ball.

Data Governance 108

Data Governance Cost-Benefit Enterprise Modeling 108

Alation

SEPTEMBER 7, 2021

In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. But governance is a time-consuming process (for users and data stewards alike).

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

Alation

NOVEMBER 28, 2022

introduces Alation Connected Sheets, a new product under Alation Cloud Service that empowers spreadsheet users with access to trusted data. This means that business users can reduce their reliance on IT and data teams for access to data, all without having to learn a new tool. The release of 2022.4 Let’s dive in.

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

CIO Business Intelligence

MAY 10, 2023

Access to artificial intelligence ( AI ) and the drive for adoption by organizations is more prevalent now than it’s ever been, yet many companies are struggling with how to manage data and the overall process. company financial information and other data sets that are either internal and/or confidential). but what about the data?

Metadata 96

Metadata Data Governance Modeling Technology 96

Alation

MARCH 8, 2022

When a data analyst exclaims, “I’ll just do it myself!”, They either can’t wait for someone else to find it or can’t explain exactly what they need, so they set off to search and dig and waste time looking for that data needle in the proverbial haystack. Business users gain a complete understanding of the available data.

Analytics 52

Analytics Data Governance Data-driven Data Science 52

Octopai

JUNE 27, 2022

This data catalog is helping boost our bottom line.”. Your data team spends more time doing high-level analysis than it does searching for relevant datasets. Your most technologically-challenged business user searches the data catalog at least once a week – without coming to you for help! Data catalog SUCCESS!

Management 72

Management Metadata Visualization Data Governance 72

erwin

OCTOBER 31, 2019

Do you know where your data is? What data you have? Add to the mix the potential for a data breach followed by non-compliance, reputational damage and financial penalties and a real horror story could unfold. s Information Commissioner’s Office had levied against both Facebook and Equifax for their data breaches.

Data Governance 105

Data Governance Metadata Risk Data Lake 105