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. Data sources must deliver error-free data on time.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Octopai

JANUARY 21, 2020

In fact, BI projects used to take many months to complete and require huge numbers of IT professionals to extract data. However, over time new technologies and tools developed to ease data reporting and analysis. Saving time and headaches with online analytical processing tool. Why is Data Lineage Key to Your Enterprise?

OLAP 56

OLAP Metadata Online Analytical Processing Data Quality 56

DataKitchen

FEBRUARY 21, 2023

Productivity does not come through the fingers of each data engineer; it comes from building a system around those engineers that allows them to run production with minimal errors and move things into production quickly, with low risk, so they can focus on making their customers successful. Build components that are idempotent on data.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

Jet Global

FEBRUARY 5, 2019

states that about 40 percent of enterprise data is either inaccurate, incomplete, or unavailable. This poor data quality translates into an average of $15 million per year in a ripple effect of financial loss, missed opportunities, and high-risk decision making. Because bad data is the reason behind poor analytics. .

Data Quality 69

Data Quality Data Warehouse Business Intelligence Data Governance 69

Jet Global

OCTOBER 1, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. Demand forecasting is an area of predictive analytics best known for understanding consumer demand for goods and services.

Business Intelligence 40

Business Intelligence Forecasting Data Warehouse Predictive Analytics 40

Alation

MAY 17, 2022

The value of an analytics program stems from its ability to answer business questions. As the role in charge of crafting those answers, it should come as no surprise that the most important persona in any analytics program is the analyst. Without the analyst, there’s no analytics. Download the white paper today.

Metadata 52

Metadata Data Quality Machine Learning Reporting 52

Jet Global

JANUARY 17, 2019

In today’s data-driven world, business intelligence (BI) and analytics play a huge role in better understanding your customers, improving your operations, and making actionable business decisions. Take a look at the data you need to use in order to get any value from business intelligence and analytics.

Business Intelligence 75

Business Intelligence Management Data Warehouse Data Governance 75

CDW Research Hub

NOVEMBER 29, 2021

The CompTIA IoT Advisory Council recently published a white paper called The Six Layers of an IoT Solution guide, which breaks down these layers and provides overarching guidance on IoT security to give IT solution practitioners more holistic knowledge of IoT solutions. In the case of IoT, this source of data is the sensor.

IoT 89

IoT Cost-Benefit Internet of Things ROI 89

Jet Global

OCTOBER 24, 2023

Why Finance Teams are Struggling with Efficiency in 2023 Disconnected SAP Data Challenges Siloed data poses significant collaboration challenges to your SAP reporting team like reporting delays, limited visibility of data, and poor data quality. Want to learn more about modernizing your SAP operational reporting?

Reporting 52

Reporting Operational Reporting Finance Enterprise 52

Smart Data Collective

JUNE 19, 2019

As such, you should concentrate your efforts in positioning your organization to mine the data and use it for predictive analytics and proper planning. The Relationship between Big Data and Risk Management. Big data analytic tools provide essential metrics that you can use to monitor your production.

Risk Management 70

Risk Management Risk Management Big Data 70

Alation

JANUARY 13, 2022

The definition we are going with here is Gartner’s and, to them, there is no single vendor that addresses the complete set of needs required to build a data fabric (at least not today). Gartner defines data fabric as a “design concept that serves as an integrated layer (fabric) of data and connecting processes.”.

Data Lake 59

Data Lake Metadata Data-driven Data Governance 59

Alation

JANUARY 25, 2022

As a reminder, here’s Gartner’s definition of data fabric: “A design concept that serves as an integrated layer (fabric) of data and connecting processes. But how do you go about selecting the right data catalog? These two resources can help you get started: White paper: How to Evaluate a Data Catalog.

Metadata 52

Metadata IT Metrics Data-driven 52