O'Reilly on Data

JULY 28, 2020

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 361

Marketing Experimentation Metrics Testing 361

Jim Harris

DECEMBER 24, 2015

Have you ever experienced that sinking feeling, where you sense if you don’t find data quality, then data quality will find you? These discussions are a critical prerequisite for determining data usage, standards, and the business relevant metrics for measuring and improving data quality.

Data Quality 56

Data Quality Enterprise Business Intelligence Data Governance 56

Smart Data Collective

AUGUST 11, 2022

Research conducted by the Harvard Business Review found that the interaction between machines and humans significantly improves firms’ performance. How Artificial Intelligence is Impacting Data Quality. Data quality is crucial in the age of artificial intelligence. Assessment of Data Types for Quality.

Data Quality 129

Data Quality Machine Learning Digital Transformation Big Data 129

datapine

JANUARY 21, 2020

One additional element to consider is visualizing data. 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. It doesn’t stop here. Source: newgenapps.com *. click to enlarge**.

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

datapine

DECEMBER 17, 2019

By understanding your core business goals and selecting the right key performance indicator ( KPI ) and metrics for your specific needs, you can use an information technology report sample to visualize your most valuable data at a glance, developing initiatives and making pivotal decisions swiftly and with confidence.

Reporting 173

Reporting IT Key Performance Indicator Dashboards 173

InsightOut

FEBRUARY 2, 2024

This is where InsightOut steps in, offering e-commerce companies the tools they need to clean, analyze, and report on key data metrics. Let's explore how InsightOut is leading the way and revolutionizing the way e-commerce businesses leverage data. Pristine Data Cleansing For e-commerce, data quality is non-negotiable.

Key Performance Indicator 40

Key Performance Indicator Metrics Dashboards Reporting 40

AWS Big Data

FEBRUARY 29, 2024

Unstructured data is typically stored across siloed systems in varying formats, and generally not managed or governed with the same level of rigor as structured data. Implement data privacy policies. Implement data quality by data type and source. Link structured and unstructured datasets.

Data Governance 97

Data Governance Unstructured Data Metadata Data Lake 97

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

datapine

AUGUST 7, 2019

Data analysis like never before. Compiling analysis results with the help of interactive dashboards and charts is one of the main features SaaS solution can offer. 1) Data management. Data quality , speed, and consistency in one neat package. . What Is A SaaS Dashboard? 2) Vision. Let’s take a closer look.

Dashboards 168

Dashboards Management KPI Cost-Benefit 168

CIO Business Intelligence

AUGUST 5, 2022

A CIO Service Quality Index (SQI) defines the key operational capabilities a CIO is responsible for delivering, the relative weight of the capability through the eyes of the customers, and the corresponding metrics that determine quality. Share the first draft of dimensions and metrics with your constituents.

Metrics 105

Metrics Dashboards Measurement Data-driven 105

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Then, you transform this data into a concise format.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

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. Feel free to take full advantage of this guide!

Dashboards 52

Dashboards Metrics Cost-Benefit Key Performance Indicator 52

Alation

FEBRUARY 14, 2023

From rebranding data governance in your organization to demonstrating real business impacts, there’s a lot you can do to bring everyone in your business on board. The role of monitoring, measuring, and metrics So, you’ve got the first step done; you’ve implemented data governance and everyone in your organization is on board.

Data Governance 52

Data Governance ROI Metrics Cost-Benefit 52

CIO Business Intelligence

MARCH 18, 2024

One such company has built a tool that predicts customer intent and behavior based on previous interactions and other market data. Our data team uses gen AI on Amazon cloud to explore sustainability metrics. A key focus of the bank’s AI team is likewise data quality.

Risk 130

Risk Cost-Benefit Data Processing Testing 130

Alation

APRIL 12, 2022

CDOs have a mandate across the data value chain, across that whole life cycle of data. Data governance also extends across that life cycle. It’s not just about security or privacy or ensuring data quality; it’s also ensuring the right people can access it and use it to deliver value to the organization.”.

Data Quality 52

Data Quality Data Governance Metrics Data Strategy 52

datapine

MAY 17, 2021

Studies suggest that 79% of enterprise executives believe that companies that do not leverage big data in the right way will lose their competitive position and could ultimately face extinction. Moreover, 83% of executives have pursued big data projects to gain a competitive edge. So, what is data discovery? click to enlarge**.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

DataRobot Blog

JULY 21, 2022

Data scientists need to understand the business problem and the project scope to assess feasibility, set expectations, define metrics, and design project blueprints. If there is no forward-looking predictive component to the use case, it can probably be addressed with analytics and visualizations applied to historical data.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

FineReport

APRIL 9, 2024

One of the key aspects of the role of BI platforms is their ability to streamline the process of data analysis and decision-making. They offer functionalities that allow for the integration and transformation of raw data into meaningful and actionable insights.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 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

datapine

MAY 21, 2019

Odds are, businesses are currently analyzing their data, just not in the most effective manner. It is time to save valuable staff resources and walk away from static spreadsheets by using interactive dashboards. These tools allow for a wide range of users to easily connect to, interact with, visualize and communicate their data.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

DataKitchen

JANUARY 19, 2022

DataKitchen natively stores historical values of runtime variables that feed into process observability – tables and graphs packed with metrics that shed light on every aspect of operations and development workflows – see figure 1. DataKitchen can interact with Matillion JSON files to make them, in effect, parameterized.

Testing 130

Testing Data Integration Data Warehouse Enterprise 130

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 74

Analytics Data Warehouse Data Lake Metadata 74

AWS Big Data

JULY 27, 2023

In DataBrew, a recipe is a set of data transformation steps that you can author interactively in its intuitive visual interface. Then the claims data is ingested into the catalog (so it’s visible to analysts), after enriching it with some relevant details about the corresponding medical providers coming from a separate source.

Visualization 85

Visualization Cost-Benefit Data Quality Interactive 85

Smarten

APRIL 19, 2024

Key Influencer Analytics to understand interrelationships and impact of data columns with each other and target columns Sentiment Analysis This sophisticated analytical technique goes beyond quantitative questionnaires and surveys to capture the real opinions, feelings and sentiments of consumers, employees, and other stakeholders.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

DataKitchen

MAY 10, 2021

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. That’s a fair point, and it places emphasis on what is most important – what best practices should data teams employ to apply observability to data analytics. It’s not about data quality .

Testing 214

Testing Manufacturing Data Quality Statistics 214

Ontotext

JUNE 22, 2023

What if we first find out how a disease occurs, what pathological processes are involved on the cellular and molecular levels, which genes and proteins play a role and how they interact? The confidence score and provenance metrics enable researchers to trace back any decisions and have more confidence to make evidence-driven decisions.

Metrics 52

Metrics Statistics Visualization Metadata 52

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

IBM Big Data Hub

APRIL 25, 2024

Done correctly, this process also contains critical activities that can significantly reduce costs and satisfy a business’ key metrics for success. The necessity of trust in a relationship-focused commerce strategy is perhaps most obvious in terms of how a business treats the data it acquires from its customer base.

Strategy 87

Strategy Sales Marketing Consulting 87

AWS Big Data

NOVEMBER 9, 2023

As part of their cloud modernization initiative, they sought to migrate and modernize their legacy data platform. Data sources As part of this data platform, we are ingesting data from diverse and varied data sources, including: Transactional databases – These are active databases that store real-time data from various applications.

Data Warehouse 107

Data Warehouse Testing Data Quality Reporting 107

CIO Business Intelligence

JUNE 30, 2023

All of this renewed attention on data and AI, however, brings greater potential risks for those companies that have less advanced data strategies. As these trends continue to evolve, building your data strategy around the principles of openness and governance assures trust in the data.

Internet of Things 87

Internet of Things Strategy Data Strategy Risk 87

CIO Business Intelligence

SEPTEMBER 8, 2022

In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. The ability to pivot quickly to address rapidly changing customer or market demands is driving the need for real-time data.

Cost-Benefit 114

Cost-Benefit Internet of Things Data-driven Data Lake 114

Cloudera

JULY 20, 2021

Invest in maturing and improving your enterprise business metrics and metadata repositories, a multitiered data architecture, continuously improving data quality, and managing data acquisitions. enhanced customer experiences by accelerating the use of data across the organization.

Manufacturing 104

Manufacturing Forecasting IoT Insurance 104

Jet Global

MAY 9, 2024

Monitoring can include tracking performance metrics such as execution time and resource usage, and logging errors or failures for troubleshooting and remediation. It also includes data validation and quality checks to ensure the accuracy and integrity of the data being processed. How is ELT different from ETL?

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

IBM Big Data Hub

SEPTEMBER 11, 2023

The pain point tracker clusters the foundational data in which value metrics are then applied. For an agency with a child welfare mission like AZDCS, value metrics include multiple dimensions such as volume (what roles are impacted and how many people?), frequency (how many occurrences?), time (how much time is lost?)

Data-driven 87

Data-driven IT Measurement Cost-Benefit 87

datapine

DECEMBER 4, 2019

We can safely say that chatbots will have the power to restructure business processes, enable easier communication between humans and data while ensuring that chatbot technologies such as natural language processing will bring added value to companies. Augmented analytics will also pave the way to an upcoming trend: conversational analytics.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

CIO Business Intelligence

DECEMBER 21, 2022

“The number-one issue for our BI team is convincing people that business intelligence will help to make true data-driven decisions,” says Diana Stout, senior business analyst at Schellman, a global cybersecurity assessor based in Tampa, Fl. Having a centralized governed set of KPIs and metrics that are certified by the organization is key.”

IT 130

IT Business Intelligence Sales Key Performance Indicator 130

datapine

AUGUST 21, 2019

8) Revenue And Sales Interactive Management Overview. This is a really fun interactive sales graph, as it lets you see your revenue and sales according to different time periods that you select. In particular, the monthly view is extremely helpful. A versatile dashboard for use on a daily, weekly, and monthly basis.

Sales 235

Sales Dashboards KPI Visualization 235