IBM Big Data Hub

FEBRUARY 15, 2024

Observability comprises a range of processes and metrics that help teams gain actionable insights into a system’s internal state by examining system outputs. In DevOps , the concept of observability has evolved to refer to the end-to-end visibility of a system state as dictated by telemetry data.

Metrics 74

Metrics Key Performance Indicator Snapshot KPI 74

AWS Big Data

APRIL 3, 2024

Many organizations already use AWS Glue Data Quality to define and enforce data quality rules on their data, validate data against predefined rules , track data quality metrics, and monitor data quality over time using artificial intelligence (AI). You can also visualize column-level data quality starting on the Schema tab.

Data Quality 88

Data Quality Visualization Metadata Metrics 88

datapine

JUNE 18, 2019

We live in a data-driven age, and the ability to use financial insights and metrics to your advantage will set you apart from the pack. Our monthly reports are on top illustrated with beautiful data visualizations that provide a better understanding of the metrics tracked. What Is Included In The Financial Report?

Reporting 251

Reporting Metrics KPI Finance 251

AWS Big Data

JANUARY 8, 2024

Refer to Amazon Kinesis Data Streams integrations for additional details. With Kinesis Data Streams, customers can continuously capture terabytes of time series data from thousands of sources for cleaning, enrichment, storage, analysis, and visualization. The raw data can be streamed to Amazon S3 for archiving.

Analytics 111

Analytics IoT Data-driven Snapshot 111

AWS Big Data

MARCH 25, 2024

Another example is an AI-driven observability and monitoring solution where FMs monitor real-time internal metrics of a system and produces alerts. When the model finds an anomaly or abnormal metric value, it should immediately produce an alert and notify the operator. For more information, refer to Dynamic Tables.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

datapine

OCTOBER 14, 2020

Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. They enable you to easily visualize your data, filter on-demand, and slice and dice your data to dig deeper. Maps are important data visualizations and at datapine, we love utilizing them in our dashboards.

Dashboards 235

Dashboards Interactive Reporting KPI 235

datapine

OCTOBER 23, 2019

A static report offers a snapshot of trends, data, and information over a predetermined period to provide insight and serve as a decision-making guide. Digestibility: Every robust dynamic reporting tool offers a multitude of stimulating visuals based on clearcut key performance indicators. What Is Static Reporting? Budget Variance.

Reporting 109

Reporting Key Performance Indicator KPI Dashboards 109

datapine

JUNE 13, 2019

They give a snapshot of the company’s exercise at a specific moment in time to assess the situation and determine the best decision to make and the type of action to undertake. So here’s what you should additionally consider when writing to your boss: Focus on what matters to your boss: choose the right metrics. What’s the difference?

Sales 264

Sales Reporting KPI B2B 264

datapine

NOVEMBER 13, 2019

A procurement report allows an organization to demonstrate how its procurement activities deliver value for money, contribute to the realization of its broader goals and objectives, and provide a panoramic snapshot of the effectiveness of its procurement strategy. c) Increase the efficiency of crucial KPIs. Clean your data.

Reporting 158

Reporting KPI Cost-Benefit Metrics 158

FineReport

NOVEMBER 25, 2020

Dashboard reporting refers to putting the relevant business metrics and KPIs in one interface, presenting them visually, dynamic, and in real-time, in the dashboard formats. Instead, data is drawn from a centralized source and displayed as an easy to interpret visual overview. FineReport.

Dashboards 98

Dashboards Reporting Visualization Snapshot 98

AWS Big Data

NOVEMBER 16, 2023

Data Vault overview For a brief review of the core Data Vault premise and concepts, refer to the first post in this series. For more information, refer to Amazon Redshift database encryption. A predicate consists of a metric, a comparison condition (=, ), and a value. Moreover, Amazon Redshift Serverless is encrypted by default.

Enterprise 83

Enterprise Data Warehouse Snapshot Cost-Benefit 83

FineReport

JUNE 14, 2023

Key Performance Indicators (KPIs) serve as vital metrics that help measure progress towards business goals. To effectively monitor and analyze these metrics, businesses utilize KPI reports. Furthermore, additional metrics such as sales performance can be incorporated for customization.

KPI 52

KPI Reporting Key Performance Indicator Sales 52

datapine

MARCH 20, 2019

If you apply that same logic to the financial sector or a finance department, it’s clear that financial reporting tools could serve to benefit your business by giving you a more informed snapshot of your activities. Exclusive Bonus Content: Your cheat sheet on reporting in finance! Let’s start by exploring a financial reporting definition.

Reporting 248

Reporting Finance Snapshot Dashboards 248

AWS Big Data

JULY 27, 2023

Compare replay performance Redshift Test Drive also provides the ability to compare the replay runs visually using a self-hosted UI tool. Take a snapshot of the source Redshift data warehouse. If you’re upgrading from DC2 to RA3 node types, refer to Upgrading to RA3 node types for recommendations.

Testing 64

Testing Data Warehouse Data Processing Snapshot 64

datapine

JANUARY 14, 2020

By increasing the service levels, customer satisfaction, and loyalty, among many other metrics, organizations can ultimately generate business value and increase profits. We have written a bit more on the average response time as one of our metrics examples below in our article, but the main point is to keep it as short as possible.

Reporting 168

Reporting KPI Metrics Dashboards 168

datapine

MARCH 27, 2019

Centered on leveraging consumer insights to improve your strategies and communications by using a highly data-driven process can also be referred to as Customer Intelligence (CI). The ability to visualize real-time market changes. Visualize your data. 90% of the information transmitted to our brains is visual.

Management 129

Management Data-driven Dashboards Visualization 129

Jet Global

JANUARY 9, 2020

But what’s the business value of highly visualized data if it’s not accurate or if it doesn’t connect you to your actual business strategy? On one hand, BI analytic tools can provide a quick, easy-to-understand visual snapshot of what appears to be the bottom line. And executives love visuals. Who doesn’t?)

Management 52

Management Analytics Visualization Dashboards 52

AWS Big Data

FEBRUARY 1, 2023

Architecturally, we chose a serverless model, and the data lake architecture action line refers to all the architectural gaps and challenging features we determined were part of the improvements. You can visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

AWS Big Data

JULY 19, 2023

Identifying the correct business process is critical—getting this step wrong can impact the entire data mart (it can cause the grain to be duplicated and incorrect metrics on the final reports). This is often referred to as the staging layer , which is the raw copy of the source data. We use this dataset to visualize the data mart.

Modeling 67

Modeling Sales Data Warehouse Snapshot 67

DataKitchen

JANUARY 23, 2023

Data lineage vs. the run time operations on data Runtime operations, such as those captured and monitored by DataOps Observability solutions, refer to the actions performed on data while it is being processed. Data lineage refers to tracing data’s origin, history, and movement through various processing, storage, and analysis stages.

Testing 130

Testing Data Governance Data Quality Data-driven 130

datapine

MARCH 15, 2019

Data intelligence refers to every analytical tool and activity based on forming a better understanding of the information and data a company (or business) collects, analyzing and utilizing it with the goal of enhancing and evolving business processes. Download right here our guide, and find out everything you need to know! click to enlarge**.

Technology 143

Technology Cost-Benefit KPI Dashboards 143

AWS Big Data

MARCH 3, 2023

Let’s refer to this S3 bucket as the raw layer. Refer to Submitting EMR Serverless jobs from Airflow for additional details. For additional details on cost, refer to Amazon EMR Serverless cost estimator. Monitoring – EMR Serverless sends metrics to Amazon CloudWatch at the application and job level every 1 minute.

Data Lake 80

Data Lake Dashboards Metrics Metadata 80

DataKitchen

MAY 10, 2021

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. A robust process checks source data and work-in-progress at each processing step along the way to polished visualizations, charts, and graphs. Some argue that visual UI’s are better than SQL.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Occam's Razor

DECEMBER 21, 2009

Referring URL's. A best practice is to pull atleast some input metrics (Visits) with some attribute metrics (% New Visits), have something that denotes customer behavior (bounce rate) and it is criminal not to have atleast a couple outcome metrics (goal conversion rate, per visit goal value). Affiliates. Promotions.

Metrics 94

Metrics KPI Reporting Visualization 94

CIO Business Intelligence

JANUARY 20, 2023

The term business intelligence often also refers to a range of tools that provide quick, easy-to-digest access to insights about an organization’s current state, based on available data. The potential use cases for BI extend beyond the typical business performance metrics of improved sales and reduced costs.

Business Intelligence 141

Business Intelligence Dashboards Data mining OLAP 141

Cloudera

SEPTEMBER 17, 2020

For modern data engineers using Apache Spark, DE offers an all-inclusive toolset that enables data pipeline orchestration, automation, advanced monitoring, visual troubleshooting, and a comprehensive management toolset for streamlining ETL processes and making complex data actionable across your analytic teams.

Visualization 102

Visualization Metrics Statistics Optimization 102