Rocket-Powered Data Science

JULY 14, 2023

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage.

Analytics 165

Analytics Internet of Things Prescriptive Analytics Data Science 165

CIO Business Intelligence

MAY 28, 2022

Other skills with fast-rising premiums included WebSphere MQ, Apache Ant, Azure Cosmos DB, DataRobot enterprise AI platform, Tibco BusinessWorks, RedHat OpenShift, Microsoft’s System Center Virtual Machine Manager and SharePoint Server, mobile operating systems, and a clutch of SAP technologies.

IT 126

IT Prescriptive Analytics Deep Learning Reporting 126

IBM Big Data Hub

JULY 27, 2022

Today, most enterprises use services from more than one Cloud Service Provider (CSP). Moreover, there are often duplicate events due to full-stack level observability and these events result in data silos. IT is a critical part of every enterprise today, and even a small service outage directly affects the top line.

Prescriptive Analytics 93

Prescriptive Analytics Descriptive Analytics Data-driven Cost-Benefit 93

Rocket-Powered Data Science

MARCH 19, 2021

The dynamic changes of the business requirements and value propositions around data analytics have been increasingly intense in depth (in the number of applications in each business unit) and in breadth (in the enterprise-wide scope of applications in all business units in all sectors).

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

CIO Business Intelligence

MAY 26, 2022

Other skills with fast-rising premiums included WebSphere MQ, Apache Ant, Azure Cosmos DB, DataRobot enterprise AI platform, Tibco BusinessWorks, RedHat OpenShift, Microsoft’s System Center Virtual Machine Manager and SharePoint Server, mobile operating systems, and a clutch of SAP technologies.

IT 98

IT Prescriptive Analytics Deep Learning Reporting 98

IBM Big Data Hub

JANUARY 25, 2024

Consider these questions: Do you have a platform that combines statistical analyses, prescriptive analytics and optimization algorithms? It can be if you rely on a spreadsheet, physical asset counts or solely on condition monitoring.

Optimization 82

Optimization Cost-Benefit Prescriptive Analytics Manufacturing 82

BizAcuity

MARCH 31, 2022

By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. of organizations who participated in an executive survey back in 2019 claimed they are going to be investing in big data and AI. Enterprise Artificial Intelligence.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

CDW Research Hub

MARCH 22, 2019

The solution helped make sense of an enormous amount of data about such things as member usage statistics, enrollment rates, contract and payment statuses, staffing and operations. empowering franchisees to use data for business decision-making, and. establishing a foundation for future predictive and prescriptive analytics.

Data Warehouse 66

Data Warehouse Prescriptive Analytics Statistics Big Data 66

AWS Big Data

MARCH 26, 2024

Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels. Plan on how you can enable your teams to use ML to move from descriptive to prescriptive analytics.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

Smart Data Collective

NOVEMBER 24, 2020

Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. Prescriptive Analytics.

Business Intelligence 131

Business Intelligence Visualization Dashboards Prescriptive Analytics 131

Cloudera

FEBRUARY 4, 2019

Late last year, the news of the merger between Hortonworks and Cloudera shook the industry and gave birth to the new Cloudera – the combined company with a focus on being an Enterprise Data Cloud leader and a product offering that spans from edge to AI.

IoT 73

IoT Prescriptive Analytics Digital Transformation Internet of Things 73

FineReport

MARCH 24, 2024

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. The business department can view reports or update data fillings.

Statistics 52

Statistics Data mining Visualization Reporting 52

Domino Data Lab

JUNE 2, 2019

In fact, recent industry surveys point out how: Company culture is one of the most significant stumbling blocks for enterprise adoption of effective data-related practices. That approach fits well with the differentiated needs in enterprise. Data science leadership: importance of being model-driven and model-informed.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

IBM Big Data Hub

JANUARY 17, 2023

Regardless of size, industry or geographical location, the sprawl of data across disparate environments, increase in velocity of data and the explosion of data volumes has resulted in complex data infrastructures for most enterprises. The solution is a data fabric. Data governance. Start a trial.

Data-driven 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57

Andrew White

JANUARY 11, 2021

What is your vision for D&A for small and medium enterprises? We have specific research for midsize and small enterprises. See 3 Questions That Midsize Enterprises Should Ask About Data and Analytics and have an inquiry with Alan Duncan. Which industry, sector moves fast and successful with data-driven?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

IBM Big Data Hub

SEPTEMBER 30, 2022

IBM is helping clients successfully navigate the age of the unexpected with IBM Business Analytics , an enterprise-grade, trusted, scalable and integrated analytics solution portfolio. As such, we have exciting new updates to our business analytics solution portfolio coming in the next month. You don’t want to miss out!

Business Analytics 52

Business Analytics Analytics Prescriptive Analytics Forecasting 52

Jet Global

MAY 1, 2023

Traditional BI Platforms Traditional BI platforms are centrally managed, enterprise-class platforms. These sit on top of data warehouses that are strictly governed by IT departments. The role of traditional BI platforms is to collect data from various business systems. Predictive Analytics: If x, then y (e.g.,

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52