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

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

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

IBM Big Data Hub

JANUARY 8, 2024

In modern enterprises, where operations leave a massive digital footprint, business events allow companies to become more adaptable and able to recognize and respond to opportunities or threats as they occur. Teams want more visibility and access to events so they can reuse and innovate on the work of others.

Data-driven 73

Data-driven Advertising Management Enterprise 73

DataKitchen

NOVEMBER 18, 2022

As he thinks through the various journeys that data take in his company, Jason sees that his dashboard idea would require extracting or testing for events along the way. So, the only way for a data journey to truly observe what’s happening is to get his tools and pipelines to auto-report events.

Testing 130

Testing Statistics Measurement Dashboards 130

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

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. To achieve this, Aruba used Amazon S3 Event Notifications.

Data Architecture 111

Data Architecture Optimization Data Warehouse Metadata 111

Anmut

JULY 12, 2021

Facts, events, statements, and statistics without proper context have little value and only lead to questions and confusion.?This This is true for life in general, but it’s especially applicable to the data you use to power your business. Data quality vs data condition: basic definitions & differences.

Data Quality 52

Data Quality Measurement Metrics Dashboards 52

Sisense

OCTOBER 15, 2020

One of the main challenges when dealing with streaming data comes from performing stateful transformations for individual events. Unlike a batch processing job that runs within an isolated batch with clear start and end times, a stream processing job runs continuously on each event separately. Step 4: Query.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

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 142

Manufacturing Digital Transformation Risk Dashboards 142

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

datapine

JANUARY 31, 2022

BI software uses algorithms to extract actionable insights from a company’s data and guide its strategic decisions. BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. Business Intelligence And Analytics Lead To ROI.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. Unlike ingestion processes, data can be transformed as per business rules before loading.

Analytics 96

Analytics Data Warehouse Data Lake Metadata 96

CIO Business Intelligence

MAY 21, 2024

Unlike many other events, which consist of multiple racing teams and manufacturers, Porsche Carrera Cup Brasil provides and maintains all 75 cars used in the race. If I don’t do predictive maintenance, if I have to do corrective maintenance at events, a lot of money is wasted.”

Broadcasting 126

Broadcasting Recreation/Entertainment Manufacturing Data Lake 126

AWS Big Data

JULY 29, 2024

Key features of the solution include: Time-series metrics collection : The solution monitors Iceberg tables continuously to identify trends and detect anomalies in data ingestion rates, partition skewness, and more. The provided helper script simplifies the set up and deployment of the dashboard.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

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 100

Testing Data Quality Metrics Cost-Benefit 100

CIO Business Intelligence

AUGUST 13, 2024

This includes regular security audits of automated systems and ensuring compliance with data protection regulations. Prioritize data quality to ensure accurate automation outcomes. Implement real-time dashboards to track performance across the organization. Learn more about IDC’s research for technology leaders.

Data-driven 130

Data-driven Metrics Optimization Machine Learning 130

CIO Business Intelligence

JANUARY 23, 2024

Quality metrics can be used to measure the improvements that come from reducing defects, lowering the impacts of human errors, improving data quality, and other program outcomes that illustrate how increasing quality connects to business impact.

Measurement 141

Measurement Digital Transformation KPI Metrics 141

Smart Data Collective

APRIL 29, 2020

This process helps to transform raw data into clean data that can be analysed and aggregated. Data analytics and visualisation. This involves the processing of selecting data from data warehouses, data analytics and presentation in dashboards and visualisations. Reference data management.

Management 97

Management Data Warehouse Digital Transformation Dashboards 97

AWS Big Data

NOVEMBER 9, 2023

As part of their cloud modernization initiative, they sought to migrate and modernize their legacy data platform. User-friendly data mart (UFDM) layer – This final layer uses data from the CDS layer to create data mart tables. dbt emerged as the perfect choice for this transformation within their existing AWS environment.

Data Warehouse 126

Data Warehouse Testing Data Quality Reporting 126

erwin

JUNE 11, 2020

Several hospitals have also employed data intelligence tools in their services and operational processes. These hospitals are making use of dashboards that provide summary information on hospital patient trends, treatment costs, and waiting times. Apply real-time data in marketing strategies. Data quality management.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

CIO Business Intelligence

JUNE 23, 2023

The focus here should be on considering all ways your customers currently consume data as well as new ways they might want to achieve better results. Of course, no set of imperatives for a data strategy would be complete without the need to consider people, process, and technology.

Data Strategy 116

Data Strategy Strategy Visualization Consulting 116

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. You need to process this to make it ready for analysis.

Data Strategy 98

Data Strategy Strategy Data Warehouse Prescriptive Analytics 98

AWS Big Data

MAY 7, 2024

Amazon DataZone provides built-in data sources that allow you to easily fetch metadata (such as table name, column name, or data types) of assets in the AWS Glue data catalog into Amazon DataZone’s business catalog. Finally, the data consumer needs to access the subscribed data once access has been provisioned.

Metadata 107

Metadata Data Lake Data Processing Data-driven 107

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

Cloudera

JUNE 29, 2023

Incorporate data from novel sources — social media feeds, alternative credit histories (utility and rental payments), geo-spatial systems, and IoT streams — into liquidity risk models. CDP also enables data and platform architects, data stewards, and other experts to manage and control data from a single location.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

Jet Global

MARCH 4, 2020

How to Build Useful KPI Dashboards. Now it is time to look at some data management best practices. How to Keep Track of Your KPI Data. Quality control and process management are not the most exciting things going on at a manufacturing company, but they are the backbone of the operation. View Guide Now. of Employees.

Manufacturing 80

Manufacturing Metrics Reporting KPI 80

Cloudera

APRIL 1, 2024

Cloudera’s real-time streaming service is unique in the industry because it not only delivers microbatch ingestion like other intelligent data platforms but also provides stream ingestion and stream data processing so you can process the stream in real time before ingesting the events into the lakehouse.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

AWS Big Data

MARCH 3, 2023

Additionally, the scale is significant because the multi-tenant data sources provide a continuous stream of testing activity, and our users require quick data refreshes as well as historical context for up to a decade due to compliance and regulatory demands. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

Cloudera

SEPTEMBER 7, 2023

The way to manage this is by embedding data integration, data quality-monitoring, and other capabilities into the data platform itself , allowing financial firms to streamline these processes, and freeing them to focus on operationalizing AI solutions while promoting access to data, maintaining data quality, and ensuring compliance.

Insurance 83

Insurance Risk Data-driven Data Quality 83

IBM Big Data Hub

OCTOBER 27, 2022

By incorporating new data feeds from transportation providers and warehouses and aggregating these to the master dataset, Newcomp developed a cost-to-serve dashboard in Cognos Analytics. How can we drill into the data to identify underlying factors and get a better outcome?

Slice and Dice 52

Slice and Dice Analytics Sales Business Analytics 52

Jet Global

JULY 2, 2019

All sources of data within your enterprise are tributaries for your data lake, which will collect all of your data, regardless of form, function, size, or speed. This is particularly useful when capturing event tracking or IoT data; though the uses of data lakes extend beyond just those scenarios.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

Ontotext

SEPTEMBER 15, 2020

Today’s organizations are dealing with data of unprecedented diversity in terms of type, location and use at equally unprecedented volumes and no one is proposing that it is ever going to simplify. This multiplicity of data leads to the growth silos, which in turns increases the cost of integration.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

Jet Global

MAY 28, 2019

A database is, by definition, ‘any collection of data organized for storage, accessibility, and retrieval.’ Databases usually consist of information arranged in rows, columns, and tables, organized mainly for easy input and collection of different events. while rows will contain the individual events and trades themselves.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

Alation

AUGUST 26, 2021

A stewardship dashboard, to track assets most ripe for curation and curation progress. An example of a stewardship dashboard for governance progress tracking. Under an active data governance framework , a Behavioral Analysis Engine will use AI, ML and DI to crawl all data and metadata, spot patterns, and implement solutions.

Metadata 64

Metadata Data Governance Dashboards Software 64

Wayne Yaddow

MARCH 14, 2025

The early detection and prevention method is essential for businesses where data accuracy is vital, including banking, healthcare, and compliance-oriented sectors. Each row provides a brief description of how dbt assists in testing and reporting test results for data transformations and conversions.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

Ontotext

JULY 15, 2024

The generation, transmission, distribution and sale of electrical power generates a lot of data needed across a variety of roles to address reporting requirements, changing regulations, advancing technology, rapid responses to extreme weather events and more.

Contextual Data 52

Contextual Data Metadata Data Quality Publishing 52