Smart Data Collective

MARCH 29, 2021

And this is usually at the lowest possible costs in terms of material and machinery. Over the years, asset-intensive industries have been searching for cost-efficient ways of managing, repairing, and overhauling activities. Additionally, data collection becomes a costly process. Below are some of these trends.

Big Data 137

Big Data Management Cost-Benefit Internet of Things 137

Smart Data Collective

APRIL 7, 2022

Companies in the distribution industry are particularly dependent on data, due to the complicated logistics issues they encounter. There are many reasons that data analytics and data mining are vital aspects of modern e-commerce strategies. Curious about the benefits of ERP integration for the future of B2B eCommerce?

B2B 106

B2B Sales Big Data Cost-Benefit 106

datapine

NOVEMBER 27, 2019

DQM is indeed reckoned as the key factor in ensuring efficient data analysis, as it is the basis from where all the rest starts from. According to Gartner, poor data quality is estimated to cost organizations an average of $15 million per year in losses. It’s an extension of data mining which refers only to past data.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Sisense

MARCH 14, 2021

As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data. When you have big data, what you really want is to extract the real value of the intelligence contained within those possibly-zettabytes of would-be information.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

Sisense

MAY 11, 2021

The new architecture requires that data be structured in a dimensional model to optimize for BI capabilities, but it also allows for ad hoc analytics with the flexibility to query clean and raw data. Importantly, both workflows for data analytics are supported by a set of data models that follow the same data pipeline.

Modeling 84

Modeling Big Data IoT Data Warehouse 84