CIO Business Intelligence

JUNE 28, 2022

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

Management 134

Management Internet of Things Statistics Data-driven 134

Smart Data Collective

NOVEMBER 25, 2019

New Avenues of Data Discovery. New data-collection technologies , like internet of things (IoT) devices, are providing businesses with vast banks of minute-to-minute data unlike anything collected before. NLP may also improve data collection by enabling AI to scan through and organize text-heavy, unstructured data.

Business Intelligence 101

Business Intelligence Predictive Analytics Data Collection Internet of Things 101

datapine

NOVEMBER 19, 2019

Interesting Read: THE DIFFERENT STAGES IN DATA ANALYTICS, AND WHERE DO YOU FIT IT IN AI AND ML ACTIVITIES? Collaborative software helps in institutionalizing structured as well as unstructured data to facilitate the sharing of insights, thoughts, information, and practices. EXPERT OPINION]. Author Bio: .

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Software 20

BizAcuity

MAY 10, 2022

2018: IoT and edge computing open up new opportunities for organizations. Microsoft starts to offer Azure IoT Central and IoT Edge. Google announces Cloud IoT. Edge computing is the process of decentralizing computer services and shifting them closer to the data source. 2019: Hybrid cloud strategy starts to trend.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Amaterasu — is a deployment tool for data pipelines.

Testing 300

Testing Machine Learning Consulting Data Quality 300

CIO Business Intelligence

JUNE 29, 2022

And as businesses contend with increasingly large amounts of data, the cloud is fast becoming the logical place where analytics work gets done. For many enterprises, Microsoft Azure has become a central hub for analytics. Azure Data Explorer. Bonus: Azure Stream Analytics and Azure Time Series Insights.

Data Lake 112

Data Lake Analytics Data Warehouse Machine Learning 112

Cloudera

OCTOBER 5, 2023

However, many organizations have data silos, for instance when each department’s data is historically stored in disparate locations. Additionally, structured and unstructured data is often separate. By eliminating data silos, your data insights enable smarter and more accurate business decisions.

Data-driven 79

Data-driven Enterprise Data Governance Unstructured Data 79

Cloudera

OCTOBER 29, 2020

With the massive explosion of data across the enterprise — both structured and unstructured from existing sources and new innovations such as streaming and IoT — businesses have needed to find creative ways of managing their increasingly complex data lifecycle to speed time to insight.

Visualization 105

Visualization Machine Learning Dashboards Data Warehouse 105

CIO Business Intelligence

MAY 24, 2022

Organisations have to contend with legacy data and increasing volumes of data spread across multiple silos. To meet these demands many IT teams find themselves being systems integrators, having to find ways to access and manipulate large volumes of data for multiple business functions and use cases. zettabytes of data.

Data-driven 84

Data-driven Data Lake Data Warehouse Cost-Benefit 84

CIO Business Intelligence

JUNE 22, 2022

Digital infrastructure, of course, includes communications network infrastructure — including 5G, Fifth-Generation Fixed Network (F5G), Internet Protocol version 6+ (IPv6+), the Internet of Things (IoT), and the Industrial Internet — alongside computing infrastructure, such as Artificial Intelligence (AI), storage, computing, and data centers.

Digital Transformation 96

Digital Transformation Internet of Things Manufacturing Unstructured Data 96

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. displaying BI insights for human users).

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

FEBRUARY 21, 2023

It is a data modeling methodology designed for large-scale data warehouse platforms. What is a data vault? The data vault approach is a method and architectural framework for providing a business with data analytics services to support business intelligence, data warehousing, analytics, and data science needs.

Data Warehouse 66

Data Warehouse Data Lake Cost-Benefit Modeling 66

CIO Business Intelligence

JANUARY 20, 2023

The most innovative unstructured data storage solutions are flexible and designed to be reliable at any scale without sacrificing performance. Protecting the data : Cyber threats are everywhere—at the edge, on-premises and across cloud providers. An organization’s data, applications and critical systems must be protected.

Analytics 130

Analytics Key Performance Indicator Unstructured Data IoT 130

Sisense

JULY 23, 2021

We are also building an analytics engine that will see us able to do far more sophisticated analytics than we have been able to do in the past.”. This analytics engine will process both structured and unstructured data. “We Data will create a better-connected future. Chris’ passion around this is evident.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52