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

Alation

DECEMBER 7, 2021

Alation and Soda are excited to announce a new partnership, which will bring powerful data-quality capabilities into the data catalog. Soda’s data observability platform empowers data teams to discover and collaboratively resolve data issues quickly. Does the quality of this dataset meet user expectations?

Data Quality 52

Data Quality Metadata Testing Data Governance 52

Anmut

JULY 12, 2021

Data without context is just meaningless noise, and any effort to improve or extract value from your data without considering the larger business context is doomed to fall short.? Unfortunately, traditional approaches to data remediation often focus on technical data quality in isolation from the broader data and business ecosystem.

Data Quality 52

Data Quality Measurement Metrics Dashboards 52

DataKitchen

MAY 10, 2024

This process is critical as it ensures data quality from the onset. Data Ingestion: Continuous monitoring of data ingestion ensures that updates to existing data sources are consistent and accurate. Examples include regular loading of CRM data and anomaly detection.

Data Quality 130

Data Quality Testing Software Dashboards 130

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Fast, Safe Development and Deployment (#4) Introduction The integrity and functionality of new code, tools, and configurations during the development and deployment stages are crucial. This process is critical as it ensures data quality from the onset. Historically?

Testing 124

Testing Cost-Benefit Data Quality Dashboards 124

Jim Harris

JANUARY 1, 2018

The Chicken Littles of Data Quality use sound bites like “data quality problems cost businesses more than $600 billion a year!” or “poor data quality costs organizations 35% of their revenue!” Furthermore, the reason that citing specific examples of poor data quality (e.g.,

Data Quality 77

Data Quality Cost-Benefit Consulting Dashboards 77

DataKitchen

DECEMBER 7, 2023

Do you have data quality issues, a complex technical environment, and a lack of visibility into production systems? These challenges lead to poor quality analytics and frustrated end users. Getting your data reliable is a start, but many other problems arise even if your data could be better.

Uncertainty 130

Uncertainty Data Quality Dashboards Analytics 130

DataKitchen

MAY 10, 2024

Data Evaluation Before new data sets are introduced into production environments, they must be thoroughly evaluated and cleaned. This initial stage of data observability ensures that data quality is maintained from the start, preventing errors that could affect downstream processes and decisions.

Data Quality 141

Data Quality Dashboards Strategy Testing 141

Sisense

JANUARY 14, 2021

Because of how delicate customer relationships can be, Billie expended considerable resources monitoring reported data for accuracy and fixing broken charts and reports before consumers could be affected. However, at a lean startup with a BI team of three, manually checking dozens of dashboards every morning seemed impossible.

Dashboards 85

Dashboards Testing Business Intelligence Interactive 85

David Menninger's Analyst Perspectives

MARCH 17, 2022

Organizations face various challenges with analytics and business intelligence processes, including data curation and modeling across disparate sources and data warehouses, maintaining data quality and ensuring security and governance.

Business Intelligence 204

Business Intelligence Data Warehouse Data Quality Dashboards 204

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 111

Dashboards Data-driven Publishing Cost-Benefit 111

DataKitchen

SEPTEMBER 21, 2023

These layers help teams delineate different stages of data processing, storage, and access, offering a structured approach to data management. In the context of Data in Place, validating data quality automatically with Business Domain Tests is imperative for ensuring the trustworthiness of your data assets.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

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. Products should be ready-to-consume, easily accessible and responsive to the consumers’ needs.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

DataKitchen

APRIL 18, 2024

The most effortless way to institute comprehensive, agile data quality testing is to derive actionable information, start testing and measuring immediately, and then iterate, using tests and results to refine. DataOps TestGen is the silent warrior that ensures the integrity of your data.

Testing 117

Testing Data Quality Enterprise Data Analytics 117

datapine

JANUARY 21, 2020

Since humans process visual information 60.000 times faster than text , the workflow can be significantly increased by utilizing smart intelligence in the form of interactive, and real-time visual data. Each information can be gathered into a single, live dashboard , that will ultimately secure a fast, clear, simple, and effective workflow.

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

AWS Big Data

JULY 13, 2023

Target – Dashboards to be refreshed on a daily basis that would provide insights on sales, gross profit, sales pipelines, and customers. Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices.

Optimization 88

Optimization B2B Data Quality Sales 88

CIO Business Intelligence

APRIL 16, 2024

Manufacturers have been using gateways to work around these legacy silos with IoT platforms to collect and consolidate all operational data. The detailed data must be tagged and mapped to specific processes, operational steps, and dashboards; pressure data A maps to process B, temperature data C maps to process D, etc.

Manufacturing 141

Manufacturing Digital Transformation Risk Dashboards 141

DataKitchen

JUNE 19, 2023

Another way to look at the five pillars is to see them in the context of a typical complex data estate. Initially, the infrastructure is unstable, but then we look at our source data and find many problems. Our customers start looking at the data in dashboards and models and then find many issues. Was it on time?

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

datapine

APRIL 16, 2019

Working with a team who knows the data you are working with opens the door to helpful and insightful feedback. Democratizing data empowers all people, regardless of their technical skills, to access it and help make informed decisions. First and foremost, the main reason usually invoked is data quality.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

Jet Global

AUGUST 28, 2023

Founded in London in 2016, Vizlib creates value-add solutions for Qlik Sense that help customers around the world elevate their approach to data visualization and analytics. The rate at which the world’s finance, operations, and business leaders must analyze complex, robust data continues to increase at a rapid pace.

Dashboards 75

Dashboards Visualization Finance Data Quality 75

datapine

DECEMBER 17, 2019

Using an IT analytics software is extremely useful in the matter: by gathering all your data in a single point-of-truth, you can easily analyze everything at once and create actionable IT dashboards. Thanks to their real-time nature, you don’t need to struggle with the permanent synchronization: all your data is always up-to-date.

Reporting 173

Reporting IT Key Performance Indicator Dashboards 173

DataKitchen

JANUARY 25, 2022

Ensuring that data is available, secure, correct, and fit for purpose is neither simple nor cheap. Companies end up paying outside consultants enormous fees while still having to suffer the effects of poor data quality and lengthy cycle time. . The data requirements of a thriving business are never complete.

Consulting 244

Consulting Testing Data Lake Data Quality 244

CIO Business Intelligence

MAY 2, 2023

But there are common pitfalls , such as selecting the wrong KPIs , monitoring too many metrics, or not addressing poor data quality. Consider how it looks to nontechnical executives when every digital transformation initiative has customized dashboards, different KPIs, and metrics with underlying data quality issues.

Digital Transformation 139

Digital Transformation IT Data-driven Metrics 139

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

datapine

FEBRUARY 17, 2023

That said, data and analytics are only valuable if you know how to use them to your advantage. Poor-quality data or the mishandling of data can leave businesses at risk of monumental failure. In fact, poor data quality management currently costs businesses a combined total of $9.7 million per year.

Analytics 191

Analytics Cost-Benefit Dashboards Business Intelligence 191

Timo Elliott

JANUARY 4, 2021

With advanced analytics, flexible dashboarding and effective data visualization, FP&A storytelling has become both an art and science. Dashboards and analytics have been around for a long, long time. I’ve worked with hundreds of dashboard and data visualization projects over the years.

Dashboards 139

Dashboards Visualization Data-driven Forecasting 139

AWS Big Data

JUNE 14, 2023

In this post, we discuss how QuickSight has helped us improve our performance, democratize our data, and provide insights to our internal customers at scale. One of our ProServe teams has 19 dashboards on QuickSight, including Catalog, Trend and Analysis, KPI Monitoring, Business Management, and Quality Control.

Dashboards 74

Dashboards KPI Scorecard Consulting 74

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

MAY 28, 2019

On the other hand, if you’re in the HR industry, then an HR dashboard could be the best answer you’re looking for. The essential element in this step is to be able to answer in what way your company or organization makes business decisions, and how the quality of these decisions is measured. Maximum security and data privacy.

Business Intelligence 317

Business Intelligence KPI Dashboards Reporting 317

DataKitchen

APRIL 13, 2021

RightData – A self-service suite of applications that help you achieve Data Quality Assurance, Data Integrity Audit and Continuous Data Quality Control with automated validation and reconciliation capabilities. QuerySurge – Continuously detect data issues in your delivery pipelines. Data breaks.

Testing 300

Testing Machine Learning Consulting Data Quality 300

datapine

MAY 21, 2019

“There is no doubt that today, self-service BI tools have well and truly taken root in many business areas with business analysts now in control of building their own reports and dashboards rather than waiting on IT to develop everything for them.”. Ineffective dashboards can be easily updated to focus on business needs.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

DataKitchen

MAY 10, 2021

Data errors impact decision-making. When analytics and dashboards are inaccurate, business leaders may not be able to solve problems and pursue opportunities. Data errors infringe on work-life balance. Data errors also affect careers. You and your data team can accomplish the same thing at your organization.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Cloudera

JULY 17, 2023

What We’ve Covered Throughout the One Big Cluster Stuck series we’ve explored impactful best practices to gain control of your Cloudera Data platform (CDP) environment and significantly improve its health and performance. We’ve shared code, dashboards, and tools to help you on your health improvement journey. Think about that.

Scorecard 68

Scorecard Measurement Dashboards Data-driven 68

datapine

AUGUST 21, 2019

Because after all – a business dashboard is worth a thousand Excel sheets. A sales graph example generated with a dashboard builder that will prove invaluable regardless of your niche or sector. 11) Sales KPI Dashboard. And rather than using Excel or Google Sheets to do so, you can focus on these charts instead.

Sales 235

Sales Dashboards KPI Visualization 235

BI-Survey

AUGUST 24, 2022

customers and suppliers) using external-facing reports and dashboards. These new usage trends are most prevalent among leading adopters of data & analytics (e.g., Specifically, organizations are implementing data governance programs and data quality workflows to improve data accuracy, completeness, and consistency.

IT 52

IT Business Driver Data Quality Data-driven 52

Paul Blogs on BI

APRIL 22, 2020

She also discovered the importance of data quality for good BI. At IBIS last June, Dr. Warden showed an early version of the dashboard as part of her keynote presentation. I would be amiss if I did not mention the amazing work in creating this custom dashboard solution by InfoSol’s Eliseo (“JR”) Camilon.

Business Intelligence 111

Business Intelligence Dashboards Visualization Data Quality 111