AWS Big Data

MAY 1, 2024

To achieve data-driven management, we built OneData, a data utilization platform used in the four global AWS Regions, which started operation in April 2022. The platform consists of approximately 370 dashboards, 360 tables registered in the data catalog, and 40 linked systems. Promote and expand the use of databases.

Dashboards 124

Dashboards Publishing Data-driven Cost-Benefit 124

datapine

SEPTEMBER 27, 2022

With a MySQL dashboard builder , for example, you can connect all the data with a few clicks. Our next book is dedicated to anyone who wants to start a career as a data scientist and is looking to get all the knowledge and skills in a way that is accessible and well-structured. 4) “SQL Performance Explained” by Markus Winand.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

DataKitchen

OCTOBER 11, 2021

She applies some calculations and forwards the file to a data engineer who loads the data into a database and runs a Talend job that performs ETL to dimensionalize the data and produce a Data Mart. The data engineer then emails the BI Team, who refreshes a Tableau dashboard. Adding Tests to Reduce Stress.

Testing 154

Testing Metadata Dashboards Statistics 154

AWS Big Data

SEPTEMBER 11, 2024

The application supports custom workflows to allow demand and supply planning teams to collaborate, plan, source, and fulfill customer orders, then track fulfillment metrics via persona-based operational and management reports and dashboards. The data quality (DQ) checks are managed using DQ configurations stored in Aurora PostgreSQL tables.

Data Architecture 111

Data Architecture Optimization Data Warehouse Metadata 111

Smarten

DECEMBER 17, 2024

According to a recent TechJury survey: Data analytics makes decision-making 5x faster for businesses. The top three business intelligence trends are data visualization, data quality management, and self-service business intelligence (BI). 7 out of 10 business rate data discovery as very important.

Reporting 52

Reporting Key Performance Indicator KPI Business Intelligence 52

CIO Business Intelligence

AUGUST 5, 2022

Each of the 71 data points were weighted to reflect its relative importance to the customer based on the assessment. In the dashboard, the company summarized the performance of all 71 data points with a single grade on a 0-100 scale. The beauty of FedEx’s SQI is in its simplicity.

Metrics 105

Metrics Dashboards Measurement Data-driven 105

FineReport

MAY 25, 2023

An HR dashboard functions as an advanced analytics tool that utilizes interactive data visualizations to present crucial HR metrics. Similar to various other business departments, human resources is gradually transforming into a data-centric function. What is an HR Dashboard?

Dashboards 52

Dashboards Metrics Key Performance Indicator Cost-Benefit 52

O'Reilly on Data

MARCH 31, 2020

You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon. It may even be faster to launch this new recommender system, because the Disney data team has access to published research describing what worked for other teams.

Management 363

Management Machine Learning Experimentation Metrics 363

Sisense

OCTOBER 15, 2020

Every data professional knows that ensuring data quality is vital to producing usable query results. Streaming data can be extra challenging in this regard, as it tends to be “dirty,” with new fields that are added without warning and frequent mistakes in the data collection process. Step 4: Query.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

CIO Business Intelligence

DECEMBER 21, 2022

This has been on many a CIO’s docket for a while, but the work often is not prioritized because the value of the data was relatively low, used mostly for historical reporting to support brand positioning and annual sustainability reports. “As Disparate data will not work for ESG as it’s too difficult to analyze and report on.

Metrics 105

Metrics Data Governance Dashboards Reporting 105

AWS Big Data

AUGUST 1, 2024

Migrating to Amazon Redshift offers organizations the potential for improved price-performance, enhanced data processing, faster query response times, and better integration with technologies such as machine learning (ML) and artificial intelligence (AI). The data warehouse is highly business critical with minimal allowable downtime.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

AWS Big Data

MAY 7, 2024

This post explains how you can extend the governance capabilities of Amazon DataZone to data assets hosted in relational databases based on MySQL, PostgreSQL, Oracle or SQL Server engines. The producer also needs to manage and publish the data asset so it’s discoverable throughout the organization.

Metadata 107

Metadata Data Lake Data Processing Data-driven 107

Octopai

OCTOBER 26, 2022

DataOps is an approach to best practices for data management that increases the quantity of data analytics products a data team can develop and deploy in a given time while drastically improving the level of data quality. Did you just have a spectacular new idea for a data analytics product?

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

Dataiku

JULY 5, 2023

Anyway, the company is a digital native but, like most everyone else, strives to improve their data culture. Their central data team publishes “official” data products and dashboards for things like sales and website traffic.

Data Quality 59

Data Quality Dashboards Sales Publishing 59

DataKitchen

MARCH 16, 2023

What are the metrics that matter? Gartner attempted to list every metric under the sun in their recent report , “T oolkit: Delivery Metrics for DataOps, Self-Service Analytics, ModelOps, and MLOps, ” published February 7, 2023. For example, Gartner’s DataOps metrics can be categorized into Velocity, Efficiency, and Quality.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

Jen Stirrup

SEPTEMBER 30, 2021

Before we dive in, let’s define strands of AI, Machine Learning and Data Science: Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an organization’s strategic and tactical business decisions.

Business Intelligence 135

Business Intelligence Data mining Machine Learning Testing 135

AWS Big Data

MARCH 7, 2023

ETL (extract, transform, and load) technologies, streaming services, APIs, and data exchange interfaces are the core components of this pillar. Unlike ingestion processes, data can be transformed as per business rules before loading. You can apply technical or business data quality rules and load raw data as well.

Analytics 96

Analytics Data Warehouse Data Lake Metadata 96

CIO Business Intelligence

NOVEMBER 29, 2022

Layering technology on the overall data architecture introduces more complexity. Today, data architecture challenges and integration complexity impact the speed of innovation, data quality, data security, data governance, and just about anything important around generating value from data.

Data Architecture 111

Data Architecture Data Integration IoT Data-driven 111

Sisense

SEPTEMBER 3, 2020

Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization. Data analysts in one organization might be called data scientists or statisticians in another. See an example: Explore Dashboard.

Statistics 97

Statistics Metrics Visualization Finance 97

Ontotext

JULY 15, 2024

This use of additional data that may have otherwise remained in silos makes it easier to identify new trends and patterns that can drive cost savings, market opportunities and other efficiencies. Taking additional advantage of the W3C RDF Schema (and optionally OWL) standards to publish data models describing the structure of published data.

Contextual Data 52

Contextual Data Metadata Data Quality Publishing 52

Howard Dresner

JANUARY 20, 2014

Examples: user empowerment and the speed of getting answers (not just reports) • There is a growing interest in data that tells stories; keep up with advances in storyboarding to package visual analytics that might fill some gaps in communication and collaboration • Monitor rumblings about trend to shift data to secure storage outside the U.S.

Business Intelligence 56

Business Intelligence Software Predictive Analytics Data Processing 56

Jet Global

FEBRUARY 25, 2025

Data cleansing is the process of identifying and correcting errors, inconsistencies, and inaccuracies in a dataset to ensure its quality, accuracy, and reliability. This process is crucial for businesses that rely on data-driven decision-making, as poor data quality can lead to costly mistakes and inefficiencies.

Cost-Benefit 52

Cost-Benefit Data Collection Finance Reporting 52

Alation

JUNE 21, 2022

Power business users and other non-purely-analytic data citizens came after that. Analysts didn’t just want to catalog data sources, they wanted to include dashboards, reports, and visualizations. analysts, data scientists, compliance, stewards, data engineers, analytics engineers ) executing multiple use cases (e.g.,

Metadata 52

Metadata Data Quality Visualization Data Lake 52

AWS Big Data

MARCH 3, 2023

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

Occam's Razor

JUNE 8, 2006

In the morass of data quality and TV and UV and cookie values and ab test id’s and sessions and shopper_ids we look at massive amounts of data and forget that real people are using our websites. . # If I get enough different ones I’ll create a new list and publish that (with due credit to you).

KPI 94

KPI Measurement Statistics Metrics 94

Alation

NOVEMBER 30, 2022

Data teams can preview helpful metadata at a glance and navigate to the object in Alation to get more information. This could be anything from a business glossary term, to a table in a database, or a SQL query someone has published and described. Alation Data Catalog centralizes metadata and rich context of data.

Metadata 52

Metadata Data Quality Dashboards Sales 52

IBM Big Data Hub

JANUARY 8, 2024

 It includes a built-in schema registry to validate event data from applications as expected, improving data quality and reducing errors. It provides a catalog for publishing event interfaces for others to discover. Flexible and customizable Kafka configurations can be automated by using a simple user interface.

Data-driven 73

Data-driven Advertising Management Enterprise 73

Smarten

SEPTEMBER 6, 2019

Self-Serve Data Preparation (SSDP) allows the organization, and its users, to gather, manipulate and analyze complex data from multiple sources in a single interface with easy-to-use tools. SSDP allows business users to leverage tools without the restrictions placed on managed dashboards or standardized reporting tools.

Analytics 53

Analytics IT Business Intelligence Testing 53

Ontotext

AUGUST 30, 2024

Building the knowledge graph The LLD Inventory team follows rigorous standards to generate metadata , which describes the data’s content, context, and structure. Metadata is crucial for data discovery, understanding, and management. Data and metadata are synchronized in Ontotext GraphDB using dedicated tooling.

Interactive 52

Interactive Metadata Dashboards Cost-Benefit 52

Ontotext

AUGUST 30, 2024

Building the knowledge graph The LLD Inventory team follows rigorous standards to generate metadata , which describes the data’s content, context, and structure. Metadata is crucial for data discovery, understanding, and management. Data and metadata are synchronized in Ontotext GraphDB using dedicated tooling.

Interactive 52

Interactive Metadata Dashboards Cost-Benefit 52

Smarten

NOVEMBER 26, 2023

You may be interested to know that TechJury reports seven out of ten businesses rate data discovery as very important, and that the top three business intelligence trends are data visualization, data quality management and self-service business intelligence.

Marketing 40

Marketing Business Intelligence Key Performance Indicator Prescriptive Analytics 40

Peter James Thomas

AUGUST 12, 2018

These normally appear at the end of an article, but it seemed to make sense to start with them in this case: Recently I published Building Momentum – How to begin becoming a Data-driven Organisation. These and other areas are covered in greater detail in an older article, Using BI to drive improvements in data quality.

Statistics 49

Statistics Metrics Data Quality Measurement 49

Andrew White

JANUARY 9, 2022

I try to relate as much published research as I can in the time available to draft a response. – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend. – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend.

Analytics 64

Analytics Measurement Data-driven Modeling 64

Alation

NOVEMBER 28, 2022

It’s impossible for data teams to assure the data quality of such spreadsheets and govern them all effectively. If unaddressed, this chaos can lead to data quality, compliance, and security issues. They can understand the context of data. Talo: What’s on the roadmap for Alation Connected Sheets?

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

Andrew White

JANUARY 11, 2021

This was for the Chief Data Officer, or head of data and analytics. Gartner also published the same piece of research for other roles, such as Application and Software Engineering. What are the new trends around the Data solution architecture (centralized vs de-centralized?). We have published some case studies.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Occam's Razor

DECEMBER 12, 2016

Data quality plays a role into this. And, most of the time, regardless of the size of the size of the company, you only know your code is not working post-launch when data is flowing in (not!). You got me, I am ignoring all the data layer and custom stuff! You can easily see that now my dashboard is simpler.

Analytics 142

Analytics Data-driven Strategy Consulting 142

Depict Data Studio

MAY 12, 2020

I’ve learned a lot more about Agile processes and software development and thinking about how some of those same practices actually apply when we’re building different analytical applications like dashboards,” Amanda said. COVID-19 Data Quality Issues. Previously, she worked in global public health. DataViz DC.

Visualization 52

Visualization Uncertainty Data Collection Data Quality 52