datapine

SEPTEMBER 16, 2022

Previously, we discussed the top 19 big data books you need to read, followed by our rundown of the world’s top business intelligence books as well as our list of the best SQL books for beginners and intermediates. Data visualization, or ‘data viz’ as it’s commonly known, is the graphic presentation of data.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

datapine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

datapine

MARCH 25, 2019

In our data-rich age, understanding how to analyze and extract true meaning from the digital insights available to our business is one of the primary drivers of success. Despite the colossal volume of data we create every day, a mere 0.5% is actually analyzed and used for data discovery , improvement, and intelligence.

Key Performance Indicator 217

Key Performance Indicator Statistics Big Data Visualization 217

DataKitchen

MAY 10, 2021

As organizations strive to become more data-driven, Forrester recommends 5 actions to take to move from one stage of insights-driven business maturity to another. . Beginners: Ensure that your methodology, governance, and operations processes are agile and adaptive. . Blog: What is DataOps ? Forrester recommends: .

Data-driven 130

Data-driven Data Architecture Machine Learning Strategy 130

AWS Big Data

MARCH 6, 2025

In todays data-driven world, securely accessing, visualizing, and analyzing data is essential for making informed business decisions. The Amazon Redshift Data API simplifies access to your Amazon Redshift data warehouse by removing the need to manage database drivers, connections, network configurations, data buffering, and more.

Visualization 103

Visualization Sales Data Warehouse Management 103

erwin

OCTOBER 8, 2020

So if you’re going to move from your data from on-premise legacy data stores and warehouse systems to the cloud, you should do it right the first time. And as you make this transition, you need to understand what data you have, know where it is located, and govern it along the way. Then you must bulk load the legacy data.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

DataKitchen

JANUARY 2, 2021

ModelOps is “ at the core of an organization’s AI strategy ” and is “ focused on operationalizing AI models, including the full life cycle management of AI decision models and AI governance.” ModelOps depends on a comprehensive data foundation enabled by data engineering practices and DataOps. Data-AI Role Alignment.

Testing 130

Testing Machine Learning Reporting Modeling 130

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 Data Processing 136

Cloudera

DECEMBER 1, 2023

Recent Government Initiatives on Public Sector AI Solutions In recent years, governments across the globe have recognized the transformative potential of artificial intelligence (AI) and have embarked on initiatives to harness this technology to drive innovation and serve their citizens more effectively.

Data Governance 109

Data Governance Data-driven Strategy Data Architecture 109

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

Cloudera

AUGUST 30, 2022

Data-fuelled innovation requires a pragmatic strategy. This blog lays out some steps to help you incrementally advance efforts to be a more data-driven, customer-centric organization. For example, providers can start by including more real-time data streams that can enhance customer interactions.

Strategy 107

Strategy Data Strategy Cost-Benefit ROI 107

AWS Big Data

AUGUST 19, 2024

In today’s data-driven world, the ability to seamlessly integrate and utilize diverse data sources is critical for gaining actionable insights and driving innovation. Use case Consider a large ecommerce company that relies heavily on data-driven insights to optimize its operations, marketing strategies, and customer experiences.

Analytics 118

Analytics Data-driven Data Integration Data Lake 118

Cloudera

JULY 9, 2021

If you’ve followed Cloudera for a while, you know we’ve long been singing the praises—or harping on the importance, depending on perspective—of a solid, standalone enterprise data strategy. The ways data strategies are implemented, the resulting outcomes and the lessons learned along the way provide important guardrails.

Data Strategy 114

Data Strategy Strategy Data-driven Machine Learning 114

AWS Big Data

JUNE 26, 2024

We also delve into details on how to configure data sources and subscription targets for a project using a custom AWS service blueprint. New feature: Custom AWS service blueprints Previously, Amazon DataZone provided default blueprints that created AWS resources required for data lake, data warehouse, and machine learning use cases.

Data Lake 118

Data Lake Data Warehouse Unstructured Data Data Governance 118

CIO Business Intelligence

OCTOBER 22, 2024

Cloud strategies are undergoing a sea change of late, with CIOs becoming more intentional about making the most of multiple clouds. A lot of ‘multicloud’ strategies were not actually multicloud. Today’s strategies are increasingly multicloud by intention,” she adds. Oracle is providing a different template.

Strategy 128

Strategy Cost-Benefit Risk Enterprise 128

erwin

MAY 31, 2019

It’s time to consider data-driven enterprise architecture. The traditional approach to enterprise architecture – the analysis, design, planning and implementation of IT capabilities for the successful execution of enterprise strategy – seems to be missing something … data. Strategic Building Blocks. That’s right.

Data-driven 104

Data-driven Enterprise Metadata Strategy 104

CIO Business Intelligence

JUNE 12, 2024

As part of this work, the foundation’s volunteers learned about the necessity of collecting reliable data to provide efficient healthcare activity. The generative AI is filling in data gaps,” she says. But the Virtue Foundation isn’t alone in experimenting with gen AI to help develop or augment data sets. It’s on the web.

Modeling 140

Modeling Testing Cost-Benefit Metadata 140

AWS Big Data

JULY 30, 2024

To help develop a data-driven culture, everyone inside an organization can use Amazon DataZone. To realize the benefits of using Amazon DataZone for governing data and making it discoverable and available across different teams for collaboration, customers integrate it with their current technology stack.

Metadata 114

Metadata Dashboards Data-driven Management 114

Cloudera

MARCH 17, 2022

Data is the true currency of the digital age, and it plays an indispensable role in defining and accelerating the mission of Government agencies. . Every level of government is awash in data (both structured and unstructured) that is perpetually in motion. The Value of Public Sector Data.

IoT 86

IoT Cost-Benefit Data-driven Data Strategy 86

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

IBM Big Data Hub

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

Data Governance 76

Data Governance Business Objectives Data Quality Measurement 76

DataRobot Blog

SEPTEMBER 1, 2022

Building AI Trust During Uncertain Market Conditions. These and many other questions are now on top of the agenda of every data science team. DataRobot Data Drift and Accuracy Monitoring detects when reality differs from the situation when the training dataset was created and the model trained. Conditions can change overnight.

Metrics 145

Metrics Statistics Modeling Data Science 145

Cloudera

AUGUST 5, 2021

In our previous blog, we talked about the four paths to Cloudera Data Platform. . If you haven’t read that yet, we invite you to take a moment and run through the scenarios in that blog. The four strategies will be relevant throughout the rest of this discussion. The complexity of workload and data dependencies.

Testing 119

Testing Risk Finance Reporting 119

erwin

JUNE 22, 2020

It describes an unfortunate reality for many data stewards, who spend 80 percent of their time finding, cleaning and reorganizing huge amounts of data, and only 20 percent of their time on actual data analysis. Earlier this year, erwin released its 2020 State of Data Governance and Automation (DGA) report.

Metadata 105

Metadata Data Governance Digital Transformation Measurement 105

IBM Big Data Hub

MARCH 4, 2024

While many organizations have implemented AI, the need to keep a competitive edge and foster business growth demands new approaches: simultaneously evolving AI strategies, showcasing their value, enhancing risk postures and adopting new engineering capabilities. This requires a holistic enterprise transformation. times higher ROI.

Enterprise 96

Enterprise ROI Risk Strategy 96

AWS Big Data

SEPTEMBER 13, 2024

CFM takes a scientific approach to finance, using quantitative and systematic techniques to develop the best investment strategies. Using social network data has also often been cited as a potential source of data to improve short-term investment decisions.

Interactive 110

Interactive Strategy Cost-Benefit Data Governance 110

Cloudera

MAY 14, 2024

But getting there requires data, and a lot of it. More than that, though, harnessing the potential of these technologies requires quality data—without it, the output from an AI implementation can end up inefficient or wholly inaccurate. In a true approach, data and workloads can move freely and multi-directionally between environments.

Data Architecture 99

Data Architecture Data Governance Unstructured Data Structured Data 99

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. However, after the financial crisis, financial regulators around the world stepped up to the challenge of reigning in model risk across the financial industry.

Risk 111

Risk Modeling IT Risk Management 111

AWS Big Data

JULY 21, 2023

Data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts.

Data Lake 98

Data Lake Data Warehouse Marketing Management 98

erwin

FEBRUARY 26, 2021

Enterprise architecture provides business and IT alignment by mapping applications, technologies and data to the value streams and business functions they support. It defines business capabilities and interdependencies as they relate to enterprise strategy, bridging the gap between ideation and implementation. Define your goals.

Enterprise 110

Enterprise Risk Modeling Manufacturing 110

CIO Business Intelligence

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

AWS Big Data

MAY 28, 2024

Apache Flink is a scalable, reliable, and efficient data processing framework that handles real-time streaming and batch workloads (but is most commonly used for real-time streaming). AWS recently announced that Apache Flink is generally available for Amazon EMR on Amazon Elastic Kubernetes Service (EKS).

Data Processing 118

Data Processing Cost-Benefit Metadata Optimization 118

AWS Big Data

OCTOBER 4, 2023

Amazon DataZone enables customers to discover, access, share, and govern data at scale across organizational boundaries, reducing the undifferentiated heavy lifting of making data and analytics tools accessible to everyone in the organization. Govern data access across organizational boundaries.

Metadata 118

Metadata Data Lake Publishing Data Governance 118

Occam's Razor

AUGUST 13, 2012

The questions reveal a bunch of things we used to worry about, and continue to, like data quality and creating data driven cultures. Yehoshua I've covered this topic in detail in this blog post: Multi-Channel Attribution: Definitions, Models and a Reality Check. EU Cookies!) What's possible to measure.

Modeling 125

Modeling Metrics Data Quality Data-driven 125

Cloudera

OCTOBER 20, 2020

He leads the charge in the support strategy and execution of our most sensitive and secure government agency clients. AI, Machine Learning, Big Data – that’s not a huge field and you don’t see a lot of people just jump into this. And while the road to big data is a long one, Otho’s journey started a bit more bumpy. .

Big Data 101

Big Data Machine Learning Technology Strategy 101

AWS Big Data

APRIL 24, 2023

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. However, many use cases, like performing change data capture (CDC) from an upstream relational database to an Amazon S3-based data lake, require handling data at a record level.

Data Lake 98

Data Lake Data Governance Machine Learning Cost-Benefit 98