DataKitchen

OCTOBER 11, 2021

The delays impact delivery of the reports to senior management, who are responsible for making business decisions based on the dashboard. All the code, Talend job, and the BI report are version controlled using Git. With tests, errors like these are caught before the data shows up in reports. Monitoring Job Metadata.

Testing 152

Testing Metadata Dashboards Statistics 152

CIO Business Intelligence

OCTOBER 26, 2023

It’s a role that combines hard skills such as programming, data modeling, and statistics with soft skills such as communication, analytical thinking, and problem-solving. Other senior positions may require an MBA, but there are plenty of BI jobs that require only an undergraduate degree.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

Smarten

JANUARY 30, 2024

The right self-serve data prep solution can provide easy-to-use yet sophisticated data prep tools that are suitable for your business users, and enable data preparation techniques like: Connect and Mash Up Auto Suggesting Relationships JOINS and Types Sampling and Outliers Exploration, Cleaning, Shaping Reducing and Combining Data Insights (Data Quality (..)

Analytics 67

Analytics Data Quality Visualization Metadata 67

Cloudera

NOVEMBER 13, 2020

Small queries are part of many common use cases: Financial summary reporting with the end of quarter or end of year results. Operational, Cybersecurity, and IoT reporting where the current point in time state of an individual or single device needs to be analyzed. . Metadata Caching. More on this below. Execution Engine.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

AWS Big Data

JUNE 9, 2023

Iceberg doesn’t optimize file sizes or run automatic table services (for example, compaction or clustering) when writing, so streaming ingestion will create many small data and metadata files. Using column statistics , Iceberg offers efficient updates on tables that are sorted on a “key” column.

Data Lake 115

Data Lake Metadata Optimization Statistics 115

CIO Business Intelligence

SEPTEMBER 22, 2023

Data management platform definition A data management platform (DMP) is a suite of tools that helps organizations to collect and manage data from a wide array of first-, second-, and third-party sources and to create reports and build customer profiles as part of targeted personalization campaigns.

Management 104

Management Advertising Data Lake Sales 104

erwin

APRIL 29, 2020

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (API)s, file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data. Who are the data owners?

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

CIO Business Intelligence

JUNE 9, 2022

A data management platform (DMP) is a group of tools designed to help organizations collect and manage data from a wide array of sources and to create reports that help explain what is happening in those data streams. Some DMPs specialize in producing reports with elaborate infographics. Google Audience Center. SAS Data Management.

Management 143

Management Advertising Data Lake Sales 143

erwin

NOVEMBER 6, 2020

Metadata Harvesting and Ingestion : Automatically harvest, transform and feed metadata from virtually any source to any target to activate it within the erwin Data Catalog (erwin DC). Data Cataloging: Catalog and sync metadata with data management and governance artifacts according to business requirements in real time.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

Cloudera

DECEMBER 20, 2021

It is also taking advantage of various integration capabilities (such as support for mobile apps for customers) and reducing operational costs (by automating reporting and customer call center analysis). . Telkomsel also uses sales and transactions statistics to understand the market trends and popularity of their many services. .

Metadata 89

Metadata Data-driven Cost-Benefit Digital Transformation 89

Alation

APRIL 18, 2023

DAMA defines data profiling as: An approach to data quality analysis, using statistics to show patterns of usage, and patterns of contents in an automated manner. The tools provide data statistics, such as degree of duplication and ratios of attribute values, both in tabular and graphical formats.

IT 52

IT Metadata Data Quality Data Governance 52

IBM Big Data Hub

NOVEMBER 4, 2022

Access the full report here. One effective way to identify bad-quality data before it flows into downstream processes is with the use of active metadata to foster greater understanding and trust in data and ensure that only high-quality data makes its way to data consumers. Unlock quality data with IBM.

Data Quality 56

Data Quality Metadata Data Governance Data-driven 56

IBM Big Data Hub

JULY 6, 2022

Data observability takes traditional data operations to the next level by using historical trends to compute statistics about data workloads and data pipelines directly at the source, determining if they are working, and pinpointing where any problems may exist. . The data observability difference . Instead, Databand.ai

Metadata 56

Metadata Data Quality Snapshot Cost-Benefit 56

Domino Data Lab

JANUARY 21, 2021

Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. Each dataset has properties that warrant producing specific statistics or charts. Designed for Jupyter : the output report can be rendered as an interactive widget directly in-line, or saved as an HTML file.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

Octopai

OCTOBER 26, 2022

Continuous pipeline monitoring with SPC (statistical process control). products or product components) are checked to make sure that they do not deviate in a statistically significant way from the expected results. If you’ve created a useful reporting process or dashboard segment, no one need ever waste time reinventing it.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

datapine

SEPTEMBER 29, 2022

Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. 4 – Data Reporting.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Rocket-Powered Data Science

JULY 19, 2023

This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative. The outcome was very positive indeed, as this customer reported the delightful experience on their social media account, thereby spreading positive sentiment about the business to a wide audience.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

O'Reilly on Data

DECEMBER 12, 2023

Yes, it happens to be the next word in Hamlet’s famous soliloquy; but the model wasn’t copying Hamlet, it just picked “or” out of the hundreds of thousands of words it could have chosen, on the basis of statistics. For example, you might want to write a stockholders’ report, or generate text for a product catalog.

Modeling 248

Modeling Software Sales Statistics 248

Alation

FEBRUARY 20, 2020

The head of sales needs the most up-to-date statistics on the state of the business, and they need it now — well, actually, yesterday. Creating a set of custom reports would take too much time. The calculations that describe the state of the business already exist — in hundreds of dashboards and thousands of reports.

Metadata 52

Metadata Analytics Dashboards Sales 52

Alation

MAY 17, 2022

In the final phase (reporting), the analyst communicates the answer or insight they uncovered back to the original requestor and anyone else who might benefit from the information. A data catalog facilitates the entire discovery stage of the workflow and, in some cases, elements of both the preparation and reporting stages as well.

Metadata 52

Metadata Data Quality Machine Learning Reporting 52

BI-Survey

FEBRUARY 7, 2022

Creating all reports in a single tool and storing all data in a common data warehouse was meant to boost efficiency. While they are not yet supported by integrated data and analytics software as well as reporting and data preparation, they are among the top investment priorities for future implementations.

Analytics 52

Analytics Metadata Cost-Benefit Software 52

AWS Big Data

NOVEMBER 29, 2023

We have improved data lake query performance by integrating with AWS Glue statistics and introduce preview of incremental refresh for materialized views on data lake data to accelerate repeated queries. Use one click to access your data lake tables using auto-mounted AWS Glue data catalogs on Amazon Redshift for a simplified experience.

Data Warehouse 103

Data Warehouse Data Lake Analytics Machine Learning 103

Anmut

OCTOBER 29, 2020

On the 29th of October 2020, the WHO reported 44,002,003 confirmed cases. Worldometer which John Hopkins base their figures on, reported 44,860,215 cases. This large gap between reported figures raises tough questions on the reliability of COVID-19 tracking data. 858,212 is a big number – a whole island.

Data Governance 52

Data Governance Data Collection Data-driven Statistics 52

datapine

MAY 29, 2019

Business intelligence architecture is a term used to describe standards and policies for organizing data with the help of computer-based techniques and technologies that create business intelligence systems used for online data visualization , reporting, and analysis. One of the BI architecture components is data warehousing.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

AWS Big Data

APRIL 3, 2024

They recognize the importance of accurate, complete, and timely data in enabling informed decision-making and fostering trust in their analytics and reporting processes. By selecting the corresponding asset, you can understand its content through the readme, glossary terms , and technical and business metadata.

Data Quality 91

Data Quality Visualization Metadata Metrics 91

CIO Business Intelligence

MARCH 21, 2022

Data scientists are often engaged in long-term research and prediction, while data analysts seek to support business leaders in making tactical decisions through reporting and ad hoc queries aimed at describing the current state of reality for their organizations based on present and historical data.

Unstructured Data 135

Unstructured Data Data Analytics Analytics Structured Data 135

Octopai

JANUARY 25, 2021

Even with these regulations in place, there were 418 HIPAA breaches reported in 2019 alone , compromising the personal data of 34.9 Due to the increasing threat of cyberattacks, the Bureau of Labor and Statistics projects the overall need for compliance officers to grow by over 8% through 2026. million Americans.

Insurance 52

Insurance Metadata Statistics Reporting 52

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

DataKitchen

JANUARY 23, 2023

Data testing can be done through various methods, such as data profiling, Statistical Process Control, and quality checks. For example, a data error may only be apparent when combined with other data or used in a specific analysis or report. Which report tab is wrong? Which production job filled that report? Did it fail?

Testing 130

Testing Data Governance Data Quality Data-driven 130

CIO Business Intelligence

APRIL 7, 2022

According to Genpact, 66% of their employees used the Amber chatbot in 2021, and of those who did, 84% reported a positive mood. By analyzing messaging metadata, “not the messages themselves,” he says, “we can now statistically prove that certain types of communication behavior directly correlate to business performance.”.

Consulting 143

Consulting Management Interactive Metadata 143

erwin

APRIL 21, 2020

Another foundational purpose of a data catalog is to streamline, organize and process the thousands, if not millions, of an organization’s data assets to help consumers/users search for specific datasets and understand metadata , ownership, data lineage and usage. Make Data Accessible & Usable.

Measurement 97

Measurement Sales Data Governance Metadata 97

erwin

APRIL 21, 2020

Another foundational purpose of a data catalog is to streamline, organize and process the thousands, if not millions, of an organization’s data assets to help consumers/users search for specific datasets and understand metadata , ownership, data lineage and usage. Make Data Accessible & Usable.

Measurement 96

Measurement Sales Data Governance Metadata 96

AWS Big Data

JUNE 15, 2023

QuickSight is a unified BI service providing modern interactive dashboards, natural language querying, paginated reports, machine learning (ML) insights, and embedded analytics at scale. Q uses the same QuickSight datasets you use for your dashboards and reports so your data is governed and secured.

Sales 70

Sales Dashboards Visualization Testing 70

Peter James Thomas

AUGUST 18, 2018

Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation. Next, rather than just being the province of Data Scientists, there were moves to use Data Lakes to support general Data Discovery and even business Reporting and Analytics as well.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

FineReport

MAY 6, 2020

Analisis prediktif: analisis axis waktu, principal component analysis, nonparametric regression, statistical process control. Manajemen data: ETL (Extract, Transform, Load), pengelolaan data, management responsibility, metadata. The Elements of Statistical Learning. Prinsip database: model data, desain database.

Data mining 98

Data mining Data Warehouse Machine Learning Big Data 98

AWS Big Data

MAY 4, 2023

The data, fetched from the Kubernetes Metric Server, feeds into statistical models that VPA constructs in order to build recommendations. The statistical models, which also represent historic resource utilization data are stored as custom resource objects on your EKS cluster.

Metrics 81

Metrics Dashboards Optimization Statistics 81

O'Reilly on Data

MAY 21, 2019

Metadata and artifacts needed for audits. For example, a recent DLA Piper survey provides an estimate of GDPR breaches that have been reported to regulators: more than 59,000 personal data breaches as of February, 2019. How much model inference is involved in specific applications? Source: O'Reilly.

Machine Learning 234

Machine Learning Technology Deep Learning Data Science 234