Jet Global

JANUARY 4, 2021

The events of 2020 were nearly impossible to predict and almost as impossible to confidently respond to. Effective cooperation should now be taking place in two ways: via shared data pools and via collaborative interaction across departments and geographies. This isn’t surprising, though.

Forecasting 98

Forecasting Finance Testing Sales 98

DataKitchen

JUNE 19, 2023

Monitoring is another pillar of Data Journeys, extending down the stack. It involves tracking key metrics such as system health indicators, performance measures, and error rates and closely scrutinizing system logs to identify anomalies or errors. You know, not everybody like onions.” – Shrek Movie (?)

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

FineReport

APRIL 26, 2023

Unlike traditional databases, processing large data volumes can be quite challenging. With Big Data Analytics, businesses can make better and quicker decisions, model and forecast future events, and enhance their Business Intelligence. How to Choose the Right Big Data Analytics Tools?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Birst BI

OCTOBER 30, 2018

Remember when you began your career and the prospect of retirement was an event in the distant future? Once an accurate predictor of future behavior is identified, integrate the scoring measures directly into the data model. Automate the data processing sequence.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

bridgei2i

APRIL 28, 2020

And obviously, such times call for truly unprecedented measures. Since you’re one of the top global influencers in the world of data and analytics, we wanted to take a little bit of time today to talk to you and understand how data and analytics can really help in a crisis.To Doug Laney: My pleasure. Aruna: Got it.

Enterprise 103

Enterprise Data Analytics Analytics Forecasting 103

DataKitchen

NOVEMBER 18, 2021

We talk about systemic change, and it certainly helps to have the support of management, but data engineers should not underestimate the power of the keyboard. Data pipelines have enough automated tests to catch errors, and error events are tied to end-to-end observability frameworks. Don’t be a hero; make heroism a rare event.

Testing 246

Testing Data Governance Measurement Software 246

DataKitchen

SEPTEMBER 21, 2023

After navigating the complexity of multiple systems and stages to bring data to its end-use case, the final product’s value becomes the ultimate yardstick for measuring success. By diligently testing and monitoring data in Use, you uphold data integrity and provide tangible value to end-users.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

AWS Big Data

JULY 19, 2023

Amazon Redshift is a fully managed and petabyte-scale cloud data warehouse that is used by tens of thousands of customers to process exabytes of data every day to power their analytics workload. You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model.

Modeling 69

Modeling Sales Data Warehouse Snapshot 69

CIO Business Intelligence

NOVEMBER 29, 2022

Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. It’s the foundational architecture and data integration capability for high-value data products. Data and cloud strategy must align.

Data Architecture 111

Data Architecture Data Integration IoT Strategy 111

AWS Big Data

NOVEMBER 13, 2023

The upstream data pipeline is a robust system that integrates various data sources, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK) for handling clickstream events, Amazon Relational Database Service (Amazon RDS) for delta transactions, and Amazon DynamoDB for delta game-related information.

Data Warehouse 92

Data Warehouse Data Lake Analytics Data Science 92

O'Reilly on Data

OCTOBER 11, 2022

So from the start, we have a data integration problem compounded with a compliance problem. An AI project that doesn’t address data integration and governance (including compliance) is bound to fail, regardless of how good your AI technology might be. Decide where data fits in. What data do you have?

Data Integration 298

Data Integration Insurance Dashboards Modeling 298

IBM Big Data Hub

NOVEMBER 14, 2023

Data monetization is not narrowly “selling data sets ;” it is about improving work and enhancing business performance by better-using data. External monetization opportunities enable different types of data in different formats to be information assets that can be sold or have their value recorded when used.

Strategy 104

Strategy Cost-Benefit Data-driven Measurement 104

IBM Big Data Hub

NOVEMBER 10, 2023

When combined with artificial intelligence (AI), an interoperable healthcare data platform has the potential to bring about one of the most transformational changes in history to US healthcare, moving from a system in which events are currently understood and measured in days, weeks, or months into a real-time inter-connected ecosystem.

Cost-Benefit 96

Cost-Benefit Insurance Consulting Unstructured Data 96

AWS Big Data

SEPTEMBER 22, 2023

In our infrastructure, Apache Kafka has emerged as a powerful tool for managing event streams and facilitating real-time data processing. At Stitch Fix, we have used Kafka extensively as part of our data infrastructure to support various needs across the business for over six years.

Management 103

Management Metrics Cost-Benefit Data Lake 103

Cloudera

SEPTEMBER 7, 2023

This puts the onus on institutions to implement robust data encryption standards, process sensitive data locally, automate auditing, and negotiate clear ownership clauses in their service agreements. But these measures alone may not be sufficient to protect proprietary information. Step up to comprehensive cybersecurity.

Insurance 83

Insurance Risk Data-driven Finance 83

CIO Business Intelligence

MAY 10, 2022

By applying machine learning to the data, you can better predict customer behavior. Gartner has identified four main types of CDPs: marketing cloud CDPs, CDP engines and toolkits, marketing data-integration CDPs, and CDP smart hubs. Customer data platform vendors. Customer data platform vs. CRM. Types of CDPs.

Advertising 122

Advertising Interactive Marketing Data Integration 122

Domino Data Lab

APRIL 3, 2019

The longer answer is that in the context of machine learning use cases, strong assumptions about data integrity lead to brittle solutions overall. Edge caches become crucial for managing data on its way from web servers to mobile devices. Data is on the move. Upcoming Events. credit cards).

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Cloudera

NOVEMBER 2, 2020

Having a live view of all aspects of their network lets them identify potentially faulty hardware in real time so they can avoid impact to customer call/data service. Ingest 100s of TB of network event data per day . Updates and deletes to ensure data correctness. Time Series and Event Analytics Specialized RTDW.

Data Warehouse 97

Data Warehouse Optimization Dashboards Interactive 97

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

NOVEMBER 19, 2020

Cloudera Data Platform (CDP) is a solution that integrates open-source tools with security and cloud compatibility. Governance: With a unified data platform, government agencies can apply strict and consistent enterprise-level data security, governance, and control across all environments.

Machine Learning 119

Machine Learning Data-driven Modeling Deep Learning 119

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data processing Raw data is often cluttered with duplicates and irregular formats.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

CIO Business Intelligence

FEBRUARY 6, 2023

BI can help you in the following ways: Identify market trends: Managers and analysts can use data collected from various sources to identify upcoming and maturing products in the market and changing consumer consumption patterns. They can then use this data to measure the company’s sales performance and predict future outcomes.

Business Intelligence 91

Business Intelligence Forecasting Marketing Sales 91

AWS Big Data

JUNE 6, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. Hundreds of thousands of customers use data lakes for analytics and ML to make data-driven business decisions.

Data Quality 76

Data Quality Data Lake Data-driven Metrics 76

Alation

OCTOBER 28, 2021

These mandates ensure that PHA and PII data are protected and managed properly, so that patients are protected in the event of data breaches. Yet this same data is critical to improving patient outcomes. Too much access increases the risk that data can be changed or stolen. Finally, data governance is a cycle.

Data Governance 52

Data Governance Measurement Metrics Data Quality 52

Cloudera

AUGUST 21, 2021

Streaming analytics captures information in the now, and has the ability to access data from inside the business as well as external sources to help businesses stay agile. The bank established the Enterprise Information & Decision Platform (EIDP) as a single source of truth running data integration on the Cloudera platform.

Data-driven 103

Data-driven Digital Transformation Risk Risk Management 103

Sisense

AUGUST 6, 2020

This is also an important takeaway for teams seeking to implement AI successfully: Start with the key performance indicators (KPIs) you want to measure your AI app’s success with, and see where that dovetails with your expert domain knowledge. Then tailor your approach to leverage your unique data and expertise to excel in those KPI areas.

Management 95

Management Machine Learning Key Performance Indicator Cost-Benefit 95

FineReport

MAY 25, 2023

FTE provides an accurate measure of the organization’s total workload, and employees working less than 1 FTE are considered part-time workers. Full-Time Equivalent (FTE) : FTE represents the hours worked by an employee on a full-time basis.

Dashboards 52

Dashboards Metrics Cost-Benefit Key Performance Indicator 52

Occam's Razor

APRIL 13, 2015

Having this data integrated into your site analytics behavior data means that you don't have to guess which of these groups/segments are more or less valuable. Keep it focused on the clump of things on your strategic Digital Marketing and Measurement Model , and your tactical big priorities.).

Analytics 155

Analytics Reporting Metrics Slice and Dice 155

Ontotext

SEPTEMBER 2, 2020

Institutional memory loss creates significant and measurable inefficiencies. By coupling semantic annotation of content as part of the editorial process, the company is preserving institutional memory of the macroeconomic concepts, relationships, and events (e.g For efficient drug discovery, linked data is key.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

Jedox

JULY 23, 2020

By linking procurement, order, personnel and capacity planning data, managers can access current and precise figures to make informed decisions. For seamless data integration and connection of all upstream systems, a modern software solution that can be flexibly adapted to the requirements of the respective organization is recommended.

Management 52

Management Cost-Benefit Risk Reporting 52

AWS Big Data

FEBRUARY 22, 2023

Ruparupa has hired new personnel to join the data analytic team to explore new possibilities and new use cases. With the new dashboard, it’s easier to compare transaction data from online and offline stores because they now use the same platform. Other business units can now act faster after an event like a marketing campaign.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

datapine

NOVEMBER 27, 2019

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Jet Global

JULY 14, 2022

The accrual basis of accounting measures the financial position and performance of your business by understanding economic events regardless of when cash transactions occur. It’s a measure of negative cash flow. Accrual Basis of Accounting. million – $1.1 million / 5 months = $100,000/month. Business Agility. Credit Limit.

Finance 52

Finance Cost-Benefit Measurement Sales 52

Jet Global

JUNE 17, 2021

This meant it was extremely difficult to effectively measure year-on-year or period-by-period changes. Managing Data Integrity. Before rolling the new process out, the company needed to address data integrity, a normal stage in any new software implementation project. Adopting Key Principles. User Acceptance.

Risk 98

Risk Recreation/Entertainment Forecasting Manufacturing 98

Jet Global

AUGUST 24, 2023

Data Security Concerns: Managing data security and compliance across hybrid environments can be a significant concern. Financial data is sensitive and requires robust security measures. I understand that I can withdraw my consent at any time. Privacy Policy.

Finance 52

Finance Reporting Data Integration Risk 52

Jet Global

FEBRUARY 2, 2023

However, the construction industry includes a plethora of non-financial data points to track – are projects being delivered on time? As a result, measuring success by financials alone isn’t enough for construction and engineering professionals. KPIs measure performance toward achieving your strategic goals or objectives.

Uncertainty 52

Uncertainty KPI Reporting Measurement 52

Jet Global

MARCH 4, 2024

Data inconsistencies become commonplace, hindering visibility and inhibiting a holistic understanding of business operations. This lack of integration makes it difficult to track progress, measure performance, and identify potential issues. Data governance and compliance become a constant juggling act. Privacy Policy.

Management 52

Management Data Governance Reporting Software 52