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 73

Analytics Data Warehouse Data Lake Metadata 73

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 74

Data-driven Management Advertising Enterprise 74

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 Cost-Benefit Key Performance Indicator 52

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

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

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

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 Data Processing Marketing 56

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 339

Management Machine Learning Experimentation Metrics 339

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 77

Metadata Data Lake Data Processing Data-driven 77

O'Reilly on Data

JULY 15, 2019

Regulators behind SR 11-7 also emphasize the importance of data—specifically data quality , relevance , and documentation. While models garner the most press coverage, the reality is that data remains the main bottleneck in most ML projects. Health care is another highly regulated industry that AI is rapidly changing.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

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 152

Testing Metadata Dashboards Statistics 152

datapine

APRIL 15, 2020

It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. Discover the available data sources. Data changes. Identify defects and enhancements.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

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

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 Reporting Dashboards 105

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

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 Strategy 111

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

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 Modeling Data-driven 64

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

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

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.

Metrics 49

Metrics Statistics Data Quality Measurement 49

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

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

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 51

Analytics IT Business Intelligence Testing 51

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 141

Analytics Data-driven Strategy Consulting 141

datapine

AUGUST 29, 2022

And with that understanding, you’ll be able to tap into the potential of data analysis to create strategic advantages, exploit your metrics to shape them into stunning business dashboards , and identify new opportunities or at least participate in the process. Your Chance: Want to put your big data knowledge to use?

Big Data 263

Big Data Data Analytics Analytics Data mining 263

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 113

Dashboards Data-driven Publishing Cost-Benefit 113

DataKitchen

APRIL 26, 2021

Similarly, Workiva was driven to DataOps due to an increased need for analytics agility to meet a range of organizational needs, such as real-time dashboard updates or ML model training and monitoring. There are a limited number of folks on the data team that can manage all of these things. He suggested.

Measurement 246

Measurement Metrics Data-driven Testing 246

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

Jet Global

MAY 6, 2024

However, if your team is accustomed to traditional methods they might hesitate to embrace SAP IBP’s AI-powered data anomaly detection for a few reasons. Firstly, there’s a potential fear of the unknown – relying on AI for such a critical task as data quality can feel like a leap of faith.

Data-driven 52

Data-driven Finance Data Quality Reporting 52

Jet Global

SEPTEMBER 26, 2023

Data Cleansing Imperative: The same report revealed that organizations recognized the importance of data quality, with 71% expressing concerns about data quality issues. This underscores the need for robust data cleansing solutions.

Data Quality 52

Data Quality Reporting Management Software 52

Jet Global

MAY 8, 2024

Logi Symphony harnesses the strengths of two recent insightsoftware acquisitions, Logi Analytics and Dundas BI, to enable software teams to rapidly design, build, and embed interactive dashboards, pixel-perfect reports and data visualizations with fast connectivity and access to modern data infrastructure.

Business Intelligence 52

Business Intelligence Reporting Measurement Software 52

Jet Global

NOVEMBER 14, 2023

Digging into the top four drawbacks of using outdated EBS data you will see your team is: Working long hours to hit month-end close targets: Your most valuable resources are spending too much time copying and pasting to compile or reconcile the information they need. Leaning too hard on IT: Oracle’s native tools are far from finance friendly.

Reporting 52

Reporting Finance Operational Reporting Dashboards 52

Jet Global

AUGUST 24, 2023

Encryption ensures that sensitive data remains unreadable and protected from unauthorized access during data integration and transfer processes. Restricted access to specific data sources, reports, or dashboards ensures that only authorized personnel can view and interact with sensitive financial information.

Finance 52

Finance Reporting Data Integration Risk 52

Jet Global

OCTOBER 4, 2023

Addressing these challenges often requires investing in data integration solutions or third-party data integration tools.

Finance 52

Finance Reporting Cost-Benefit Management 52

Jet Global

MAY 9, 2024

Data pipelines play a critical role in modern data-driven organizations by enabling the seamless flow and transformation of substantial amounts of data across various systems and apps. Once processed, the data is routed and delivered to one or more destinations, such as a data warehouse, data lake , or other storage solution.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

OCTOBER 26, 2023

If your finance team is using JD Edwards (JDE) and Oracle E-Business Suite (EBS), it’s like they rely on well-maintained and accurate master data to drive meaningful insights through reporting. For these teams, data quality is critical. Ensuring that data is integrated seamlessly for reporting purposes can be a daunting task.

Data Quality 52

Data Quality Reporting Operational Reporting Finance 52