CIO Business Intelligence

APRIL 12, 2022

Further, the tools and devices available on the market are proprietary and prone to vendor lock-in. That is changing with the introduction of inexpensive IoT-based data loggers that can be attached to shipments. That brings us to the value of timely data and analytics. Democratization of data.

IoT 103

IoT Analytics Manufacturing Cost-Benefit 103

Cloudera

SEPTEMBER 29, 2021

However, with the COVID-19 pandemic placing extreme pressure on governments to deliver accessible and efficient services while ensuring optimal user experience, going digital is now a necessity and not a luxury. This data allows the government to have a deeper understanding of the initiatives that it launches and their impact. .

Digital Transformation 81

Digital Transformation Data Governance Data-driven Uncertainty 81

O'Reilly on Data

NOVEMBER 13, 2018

There are also many important considerations that go beyond optimizing a statistical or quantitative metric. As we deploy ML in many real-world contexts, optimizing statistical or business metics alone will not suffice. Fortunately there are members of our data community who have been thinking about these problems.

Machine Learning 217

Machine Learning Risk Management Statistics 217

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. This makes it easier to manage and update information as the industry changes.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

IBM Big Data Hub

MARCH 26, 2024

Have the sustainability goals evolved in response to recent regulation or market shifts? Generative AI can unlock productivity potential, accelerating data collection and ingestion reconciliation. Then, we can prioritize how generative AI can improve existing data for visibility and use that data for performance insights.

Measurement 62

Measurement Metrics Strategy Reporting 62

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth.

Data mining 54

Data mining Machine Learning Deep Learning Marketing 54

datapine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. Improved risk management: Another great benefit from implementing a strategy for BI is risk management.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Jet Global

JULY 28, 2023

Across Europe, the Middle East, and Africa (EMEA), organizations have transitioned from optimism to pragmatism post-COVID-19, preparing for potential recession while emphasizing digitization and resilience to navigate global market trends. A tight labor market.

Finance 52

Finance Uncertainty Reporting Forecasting 52

Jet Global

NOVEMBER 29, 2023

Understanding the Magic Quadrant The Magic Quadrant graphic is a disarmingly simple representation of the state of a market. It provides a graphical comparative positioning of technology and service providers with high market growth and product differentiation. Market Responsiveness.

Reporting 52

Reporting Marketing Software Management 52

Sisense

SEPTEMBER 3, 2020

They are the link between the data resources available to an enterprise and executives looking for opportunities to make the business better, faster, and stronger. Data Analyst. Data analysts might report to a CIO, a Chief Data Officer (CDO), or possibly to a data scientist or business analyst team leader.

Statistics 97

Statistics Metrics Visualization Finance 97

Jet Global

MAY 9, 2024

ELT can simplify the data pipeline by reducing the number of steps and tools involved, but it may rely on the destination system’s ability to handle complex transformations effectively. In an ETL process, data transformations can be optimized before loading, which may improve performance for data-intensive transformations.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Alation

FEBRUARY 8, 2022

Middlemen — data engineering or IT teams — can’t possibly possess all the expertise needed to serve up quality data to the growing range of data consumers who need it. As data collection has surged, and demands for data have grown in the enterprise, one single team can no longer meet the data demands of every department.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Domino Data Lab

FEBRUARY 4, 2019

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. As the article explains, data science is set apart from other business functions by two fundamental aspects: Relatively low costs for exploration.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66