erwin

JULY 17, 2019

Once you’ve determined what part(s) of your business you’ll be innovating — the next step in a digital transformation strategy is using data to get there. Constructing A Digital Transformation Strategy: Data Enablement. Many organizations prioritize data collection as part of their digital transformation strategy.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Smart Data Collective

NOVEMBER 1, 2023

Some of the data types you can use to better employee engagement include: Feedback data: Thi refers to employee recommendations and opinions and their responses and reactions to the company’s actions. To enhance your team’s engagement, you must track and understand it and then act on the insights.

Metrics 87

Metrics Measurement Data-driven Optimization 87

Rocket-Powered Data Science

SEPTEMBER 18, 2018

For the modern digital organization, the proof of any inference (that drives decisions) should be in the data! Rich and diverse data collections enable more accurate and trustworthy conclusions. Higher variety data means that we are adding data from other sensors, other signals, other sources, and of different types.

Big Data 103

Big Data Data Science Measurement Data Collection 103

Ontotext

MAY 5, 2023

It is reused in modeling the publication of entity data or regulatory-mandated data exchange, as seen in the example provided below. Integrating reporting to move to a more streamlined, efficient approach to data collection. We think their adoption will bring benefits well beyond reporting.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

IBM Big Data Hub

AUGUST 11, 2023

Furthermore, MES systems provide organizations with comprehensive and accurate production data, enabling data-driven decision-making to continuously enhance business processes and optimize resource utilization. But for a large organization, it’s just one of many sources.

Software 69

Software Manufacturing Cost-Benefit ROI 69

CIO Business Intelligence

APRIL 12, 2022

For example, you could integrate dynamic condition data from a logger with QR codes on product labels (which contain pre-set information about the product) and let customer systems process and cross-reference this integrated data using the logger’s API.

IoT 100

IoT Analytics Manufacturing Cost-Benefit 100

Alation

JANUARY 26, 2023

Below are some examples of common data governance goals: All data collection, storage, and usage must meet the terms of legislation. Avoid fines that could result from issues such as data leakage or lack of data minimization practices. This is “table stakes” for any data governance program!).

Data Governance 52

Data Governance Strategy Data Quality Marketing 52