Cloudera

JANUARY 26, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. In a good data governance strategy, it is important to define roles that allow the business to limit the level of access that users can have to their strategic data assets.

Metadata 72

Metadata Data Governance Management Finance 72

Cloudera

MARCH 4, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. In a good data governance strategy, it is important to define roles that allow the business to limit the level of access that users can have to their strategic data assets.

Metadata 52

Metadata Data Governance Management Finance 52

Cloudera

NOVEMBER 26, 2020

This year’s Data Impact Awards were like none other that we’ve ever hosted. While all our winners are doing phenomenal work, one of the most exciting awards of the night was The Data for Enterprise AI category. In fact, Experian admits to believing that data has the power to change lives.

B2B 103

B2B Machine Learning Big Data Data-driven 103

AWS Big Data

MARCH 4, 2024

As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to meet evolving analytical needs. Schema evolution enables adding, deleting, renaming, or modifying columns without needing to rewrite existing data. Query the data using Athena.

Snapshot 110

Snapshot Data Lake Metadata Recreation/Entertainment 110

Cloudera

SEPTEMBER 3, 2020

I think we can all agree that it would be nice to have some good news in 2020, which is why the Data for Good category in this year’s Cloudera Impact Awards is such a pertinent one. The awards program is an annual corporate competition celebrating game-changing data-implementation projects.

Data-driven 95

Data-driven Forecasting Consulting Software 95

CIO Business Intelligence

JANUARY 25, 2023

Kirk Ball, EVP and CIO at Giant Eagle Giant Eagle Another evolving priority is their ability to effectively manage data and create an analytics platform that provides insights into the stories the data is telling, and, in turn, reveal those stories to decision makers across different functions in the business. “We

Strategy 113

Strategy Interactive Digital Transformation Technology 113

Ontotext

MARCH 19, 2021

This metaphor has it that books are the data and library cards are the metadata helping us find what we need, want to know more about or even what we don’t know we were looking for. We’ve already talked about metadata as something that enriches data with more data points that make it meaningful. The one from packaging.

Metadata 124

Metadata Enterprise Publishing Management 124

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. DATA FOR ENTERPRISE AI.

Digital Transformation 65

Digital Transformation Machine Learning Optimization Data Lake 65

FineReport

MAY 19, 2021

Purchasing analysis is usually represented as dashboards, reports, and data graphs, analyzing the company’s spending on suppliers by category or location. The following example contains the profit and category contribution rate, the sales, and directs for the next stage of the procurement plan. Purchasing Reports Samples.

Dashboards 93

Dashboards Metrics Reporting Forecasting 93

DataRobot

JUNE 4, 2021

DataRobot enables organizations to leverage the transformational power of machine learning by delivering the world’s most trusted enterprise AI platform that spans the full lifecycle from data to value. Snowflake Data Marketplace.

Forecasting 52

Forecasting Machine Learning Predictive Modeling Modeling 52

AWS Big Data

MARCH 27, 2023

Businesses are using real-time data streams to gain insights into their company’s performance and make informed, data-driven decisions faster. As real-time data has become essential for businesses, a growing number of companies are adapting their data strategy to focus on data in motion.

Visualization 74

Visualization Data Lake Interactive Data-driven 74

erwin

JUNE 26, 2020

If you’re serious about a data-driven strategy , you’re going to need a data catalog. Organizations need a data catalog because it enables them to create a seamless way for employees to access and consume data and business assets in an organized manner. This also diminishes the value of data as an asset.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

AWS Big Data

JANUARY 27, 2023

In this post, we show you how to use PCA’s data to build automated QuickSight dashboards for advanced analytics to assist in quality assurance (QA) and quality management (QM) processes. You can apply data, agent, call duration, and language filters for targeted search. The graphical and tabular views help accurately analyze the data.

Analytics 60

Analytics Reporting Dashboards Visualization 60

datapine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. Your Chance: Want to perform advanced data analysis with a few clicks? Data Is Only As Good As The Questions You Ask.

IT 317

IT Statistics KPI Data-driven 317

Smart Data Collective

DECEMBER 21, 2022

Big data technology has helped businesses make more informed decisions. A growing number of companies are developing sophisticated business intelligence models, which wouldn’t be possible without intricate data storage infrastructures. One of the biggest issues pertains to data quality. Data cleansing and its purpose.

Business Analytics 112

Business Analytics Analytics Data Quality Big Data 112

FineReport

MARCH 5, 2024

As the realm of data visualization undergoes rapid proliferation, diversifying applications, and evolving presentation formats, its expansive landscape unfolds. Mirroring the growth seen in other emerging concepts, the boundaries of data visualization remain in a state of continual expansion and is vital when you generate reports.

Visualization 52

Visualization Interactive Dashboards Reporting 52

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 100

Data Lake Sales Data Warehouse Snapshot 100

Ontotext

JULY 26, 2019

With several examples, you will see how knowledge management can be made smarter using the potential of semantic technology to fuse data, analyze relationships, detect patterns and infer new facts from enriched datasets. . Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What?

Technology 75

Technology Enterprise Data Integration Management 75

FineReport

OCTOBER 28, 2021

Data dashboard visualization plays a key role in business, whether about analysis or decision. It empowers every user to understand complex data in a visual way. Undoubtedly, a reliable data dashboard tool with interactive visualizations renders your clients ready to see how their programs or plans are performing.

Dashboards 52

Dashboards Visualization Interactive KPI 52

CIO Business Intelligence

MARCH 21, 2022

“They want a CDP [customer data platform] — so, technology first — without having a clue of what they want to deliver against that or why they want to do it.”. Getting the right data. Roundtable participants spoke of the difficulty of obtaining the customer data necessary for better CX. Four pillars for CX success.

Key Performance Indicator 52

Key Performance Indicator Data-driven KPI Interactive 52

Ontotext

JULY 6, 2023

In today’s fast changing environment, enterprises that have transitioned from being focused on applications to becoming data-driven gain a significant competitive edge. There are four groups of data that are naturally siloed: Structured data (e.g., Transaction and pricing data (e.g., Knowledge organization (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Cloudera

DECEMBER 9, 2020

It’s been a few weeks since we celebrated the 2020 Data Impact Awards, and everyone at Cloudera is still on a high. The Connect the Data Lifecycle award was our fifth award at this year’s ceremony. Entrants in this award category are so important to recognize because of how they tie every piece of their data strategy together.

Predictive Modeling 69

Predictive Modeling Data Warehouse Enterprise Management 69

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. In our data adventure we assume the following: . Company data exists in the data lake.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

The Data Visualisation Catalogue

MARCH 18, 2019

No detail on the chart’s design is given in th is study, but it does demonstrate using extrusion to display an additional data dimension on a Treemap. However, one 3D Treemap design that does nest its subcategories is StepTree, which does this by stacking each subcategory on top of the parent category. Luboschnik, H.

Visualization 47

Visualization Interactive Software Experimentation 47

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Several factors are driving the adoption of knowledge graphs. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Rita Sallam

JUNE 2, 2023

We explored these questions and more at our Bake-Offs and Show Floor Showdowns at our Data and Analytics Summit in London with 3,700 of our closest D&A friends and family. We did two Bake-Offs at the Gartner Data and Analytics Summit in London last week. What Data Did We Use? The answer to the first question is: I knew it!!

Optimization 52

Optimization Insurance Machine Learning Risk 52

O'Reilly on Data

OCTOBER 22, 2020

Understanding the company’s true purpose unlocks the business model and sheds light on what is useful to do with the data. Since I work in the AI space, people sometimes have a preconceived notion that I’ll only talk about data and models. How did you obtain your training data? Source: Shane.

Consulting 296

Consulting Risk Cost-Benefit Modeling 296

Ontotext

JULY 26, 2019

Whether you refer to the use of semantic technology as Linked Data technology or smart data management technology, these concepts boil down to connectivity. Connectivity in the sense of connecting data from different sources and assigning these data additional machine-readable meaning.

Technology 40

Technology Data Integration Enterprise Structured Data 40

Occam's Razor

OCTOBER 21, 2013

That of course will mean more referring keyword data will disappear. At the moment it is not clear whether Bing, Baidu, Yandex and others will move to similarly protect users’ search privacy; if and when they do, the result will be loss of even more keyword-level user behavior data. Alternatives For Keyword Data Analysis.

Optimization 154

Optimization Reporting Experimentation Metrics 154

Ontotext

MAY 22, 2023

At the same time, most data management (DM) applications require 100% correct retrieval, 0% hallucination! Many enterprise data and knowledge management tasks require strict agreement, with a firm deterministic contract, about the meaning of the data. LLM will not replace knowledge graphs either. I am very optimistic!

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

Rocket-Powered Data Science

JULY 14, 2023

I recently saw an informal online survey that asked users what types of data (tabular; text; images; or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

Analytics 165

Analytics Internet of Things Prescriptive Analytics Data Science 165

CIO Business Intelligence

JANUARY 3, 2024

According to G2’s latest state of software report, AI is the fastest-growing software category in G2 history. The company now tracks a total of 1,078 AI vendors, and AI categories gained 643 new products over the previous year. And the AI writing assistant category grew by 177%. Can I run it in my own virtual cloud?”

Risk 131

Risk Modeling Enterprise Marketing 131

IBM Big Data Hub

JULY 28, 2022

Metadata enrichment is about scaling the onboarding of new data into a governed data landscape by taking data and applying the appropriate business terms, data classes and quality assessments so it can be discovered, governed and utilized effectively.

Metadata 57

Metadata Data Quality Machine Learning Statistics 57

AWS Big Data

JUNE 19, 2023

With the recent introduction of Amazon Security Lake , it has never been simpler to access all your security-related data in one place. Security Lake automatically centralizes security data from cloud, on-premises, and custom sources into a purpose-built data lake stored in your account.

Publishing 83

Publishing Dashboards Visualization Management 83

Ontotext

FEBRUARY 26, 2024

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

O'Reilly on Data

FEBRUARY 11, 2020

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

Data Quality 304

Data Quality Metadata Data Governance Publishing 304

AWS Big Data

JUNE 12, 2023

In the continuous streak of providing rich user experiences and readability, QuickSight is now introducing data bars for table visual. In this post, we demonstrate how to use data bars to improve table readability and identify outliers. One way to make table presentation effective is to provide a visual representation with data bars.

Visualization 63

Visualization Metrics Dashboards Consulting 63