DataKitchen

JANUARY 3, 2022

There’s a recent trend toward people creating data lake or data warehouse patterns and calling it data enablement or a data hub. DataOps expands upon this approach by focusing on the processes and workflows that create data enablement and business analytics.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

Cloudera

NOVEMBER 7, 2023

This blog post is intended to provide guidance to Ozone administrators and application developers on the optimal usage of the bucket layouts for different applications. OBS buckets provide rich storage for media files and other unstructured data enabling exploration of unstructured data.

Unstructured Data 105

Unstructured Data Data Architecture Optimization Interactive 105

datapine

FEBRUARY 25, 2022

See data from different points of view : If you ever worked with data before, you must know that the deeper you dig the more value you will find. Drilling on data enables you to look at your most relevant information and visualize it from different points of view.

Reporting 173

Reporting Dashboards Visualization Metrics 173

DataKitchen

FEBRUARY 21, 2023

Data Engineering teams often deliver to one or more self-service teams in a hub and spoke or data enablement organization model. This idea sometimes means sh** flows downhill to the data engineer team from self-service teams – your team gets all the blame and none of the glory from delivering business value.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

datapine

OCTOBER 7, 2020

They help in making the right decision: To ensure positive business results, data-enabled decisions are critical. What are key metrics in this case enabling – is an environment that focuses on making the right decision at the right time since they will present the data, and help you derive insights.

KPI 269

KPI Metrics Sales Visualization 269

DataKitchen

NOVEMBER 29, 2021

Orchestrated pipelines that span teams, toolchains, data centers and organizational boundaries emanate from the data lake to create analytics platforms used by data scientists and business users to generate on-demand insights. . The Hub-Spoke architecture is part of a data enablement trend in IT.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

AWS Big Data

JULY 29, 2024

It addresses many of the shortcomings of traditional data lakes by providing features such as ACID transactions, schema evolution, row-level updates and deletes, and time travel. In this blog post, we’ll discuss how the metadata layer of Apache Iceberg can be used to make data lakes more efficient.

Metadata 124

Metadata Snapshot Data Lake Metrics 124

Cloudera

NOVEMBER 16, 2020

Third-party data such as location, social media, obituaries, repair costs, and others help in faster identifying suspicious claims or applications. The post Combating Fraud in Insurance with Data appeared first on Cloudera Blog.

Insurance 101

Insurance ROI Marketing Machine Learning 101

Smart Data Collective

APRIL 14, 2023

However, with the ever-increasing volume and complexity of data, it’s essential to have an effective data navigation system to optimize your BI strategy. Layered navigation is a powerful tool that can improve your BI strategy by providing better access to relevant data and insights.

Business Intelligence 110

Business Intelligence Strategy Data-driven Visualization 110

CIO Business Intelligence

APRIL 15, 2022

That, in turn, would lead to all manner of articles and marketing blogs citing the incident as part of advice for avoiding the “creepy factor.”. Like all other big retailers, Target had been collecting data on its customers via shopper codes, credit cards, surveys, and more.

Analytics 145

Analytics Machine Learning Insurance Testing 145

DataKitchen

NOVEMBER 4, 2021

DataOps automation replaces the non-value-add work performed by the data team and the outside dollars spent on consultants with an automated framework that executes efficiently and at a high level of quality. Focusing on the processes that operate on data enables the team to automate workflows and build a factory that produces insights.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

IBM Big Data Hub

APRIL 18, 2023

Increased automation: ISO 20022 provides a more structured way of exchanging payment data, enabling greater automation and reducing the need for manual intervention, all of which help reduce errors and improve overall payment processing efficiency. appeared first on IBM Blog.

Risk Management 110

Risk Management Cost-Benefit Risk Data-driven 110

datapine

OCTOBER 14, 2020

An interactive dashboard is a data management tool that tracks, analyzes, monitors, and visually displays key business metrics while allowing users to interact with data, enabling them to make well-informed, data-driven, and healthy business decisions. What Is An Interactive Dashboard?

Dashboards 235

Dashboards Interactive Reporting KPI 235

DataKitchen

FEBRUARY 2, 2023

Central IT Data Teams focus on standards, compliance, and cost reduction. ’ They are data enabling vs. value delivery. Their software purchase behavior will align with enabling standards for line-of-business data teams who use various tools that act on data. Recession: the party is over.

Metadata 130

Metadata Testing Data Science Risk 130

IBM Big Data Hub

FEBRUARY 5, 2024

By using hybrid AI/ML models, generative AI generates failure and effects analyses from historical data, enabling you to prioritize and reduce serial failures by up to 25%–50% while increasing site reliability by 10%–15%. Explore generative AI Learn more about the work IBM Consulting® is doing in generative AI.

Optimization 89

Optimization Management Key Performance Indicator Data-driven 89

Cloudera

NOVEMBER 2, 2021

Becoming a data-driven organization is not exactly getting any easier. Businesses are flooded with ever more data. Although it is true that more data enables more insight, the effort needed to separate the wheat from the chaff grows exponentially.

Data Governance 97

Data Governance Data-driven Data Processing Risk 97

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

erwin

JANUARY 23, 2025

Business-focused capabilities such as the erwin Data Marketplace help organizations to not only tackle the defensive aspects of data governance, but also the governance-driven aspects of data literacy and data enablement needed to ensure that data consumers can find and leverage high-value, trusted data.”

Metadata 52

Metadata Data Quality Data Governance Software 52

Cloudera

OCTOBER 28, 2021

For example, this supports underwriting and risk management in agricultural insurance, where all types of weather, location, soil, nutrition and all kinds of real time plant and livestock data improve insuring that business. Location, driver behavior, routing, cargo and rest time data enable fine tuning and individualized underwriting.

Insurance 97

Insurance Risk Unstructured Data Data-driven 97

erwin

JANUARY 14, 2021

I have long stated that data is the lifeblood of digital transformation, and if the pandemic really has accelerated digital transformation, then the trends reported in IDC’s worldwide surveys make sense. But data without intelligence is just data, and this is WHY data intelligence is required.

Digital Transformation 143

Digital Transformation Metadata Big Data Data-driven 143

IBM Big Data Hub

SEPTEMBER 12, 2023

Historical data and trends: Automated systems can efficiently store and analyze historical data, enabling trend analysis and pattern recognition. ” The post Debunking observability myths – Part 5: You can create an observable system without observability-driven automation appeared first on IBM Blog.

Data-driven 63

Data-driven Cost-Benefit Predictive Analytics Machine Learning 63

CIO Business Intelligence

OCTOBER 24, 2023

“Traditional data structures, typically organized in structured tables, often fall short of capturing the complexity of the real world,” says Weaviate’s Philip Vollet. These embeddings capture features and representations of data, enabling machines to understand, abstract, and compute on that data in sophisticated ways.”

Cost-Benefit 126

Cost-Benefit Modeling Data Quality Statistics 126

Cloudera

AUGUST 16, 2023

It’s always been crucial for us to enable customers to do more with their data. Enabling a robust partner ecosystem is critical to this goal and encompasses cloud , platform , software , resellers , and s ystems integrator s. The post New Accreditations for Cloudera Partners appeared first on Cloudera Blog.

Sales 65

Sales Insurance Manufacturing Data Strategy 65

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

datapine

SEPTEMBER 11, 2019

Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success.

Business Intelligence 161

Business Intelligence Analytics Sales Dashboards 161

Cloudera

AUGUST 21, 2021

Cloudera’s customers in the financial services industry have realized greater business efficiencies and positive outcomes as they harness the value of their data to achieve growth across their organizations. Data enables better informed critical decisions, such as what new markets to expand in and how to do so.

Data-driven 103

Data-driven Digital Transformation Risk Risk Management 103

Cloudera

JUNE 18, 2022

It provided the concept of a database, schemas, and tables for describing the structure of a data lake in a way that let BI tools traverse the data efficiently. If you want to learn more, join us on June 21 on our webinar with Ryan Blue, co-creator of Apache Iceberg and Anjali Norwood, Big Data Compute Lead at Netflix.

Data Lake 94

Data Lake Data Warehouse Machine Learning Data-driven 94

Alation

JULY 26, 2021

Back then, our focus was three-fold, focused on: Taking inventory of our data assets, Building out a more formal data governance program , and. At this time, I worked in the Data Enablement Team and my primary focus was data catalog adoption and training. Subscribe to Alation's Blog.

Insurance 98

Insurance Digital Transformation Enterprise Data Governance 98

Cloudera

APRIL 13, 2023

Sherry is an Engineering Manager for the CDV (Cloudera Data Visualization) team. Her team’s objectives are to, first, make it easier for analysts to explore data, enabling them to uncover interesting trends in product features and performance.

Management 80

Management Software Dashboards Technology 80

Cloudera

FEBRUARY 15, 2024

Improved data accessibility: By providing self-service data access and analytics, modern data architecture empowers business users and data analysts to analyze and visualize data, enabling faster decision-making and response to regulatory requirements.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

Anmut

OCTOBER 14, 2024

The data’s potential to enable organizational and supply chain efficiencies, which result in cost savings. Leading organisations are looking to value their data by asking how data enables them to deliver the organisational outcomes they need to create maximum value for their stakeholders.

Data-driven 52

Data-driven Operational Reporting Reporting Data Enablement 52

Cloudera

JANUARY 13, 2021

Engaging employees in a digital journey is something Cloudera applauds, as being truly data-driven often requires a shift in the mindset of an entire organisation. Putting data at the heart of the organisation. The platform is built on a data lake that centralises data in UOB business units across the organisation.

Digital Transformation 56

Digital Transformation Data-driven Data Lake Big Data 56

Ontotext

MARCH 19, 2021

Such reference data is often considered a key competitive advantage and an asset for the publisher – e.g, Reference data enables one to structure advanced content retrieval criteria while metadata allows the actual content retrieval. The case for organizations in other industry sectors is similar.

Metadata 124

Metadata Publishing Enterprise Management 124

IBM Big Data Hub

MAY 9, 2023

At IBM, we believe it is time to place the power of AI in the hands of all kinds of “AI builders” — from data scientists to developers to everyday users who have never written a single line of code. The post Introducing watsonx: The future of AI for business appeared first on IBM Blog.

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

IBM Big Data Hub

JANUARY 29, 2024

Automation will play a pivotal role in transforming the data center, where scale and complexity will outpace the ability of humans to keep everything running smoothly. For you as a business leader, this means pivoting from manual methods to a more streamlined, technology-driven and data-enabled approach.

Data-driven 64

Data-driven Optimization Machine Learning Consulting 64

Cloudera

OCTOBER 19, 2023

For data engineers, data scientists, and other experts, a hybrid data platform simplifies access to distributed data, enabling them to design reliable, idempotent, low-latency data pipelines that integrate real-time data from the network edge to feed operational analytics, or ML-powered, AI-automated applications and services.

Data-driven 76

Data-driven Data Architecture Predictive Modeling Digital Transformation 76

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98