Sisense

OCTOBER 6, 2020

As quantitative data is always numeric, it’s relatively straightforward to put it in order, manage it, analyze it, visualize it, and do calculations with it. These programs and systems are great at generating basic visualizations like graphs and charts from static data. The challenge comes when the data becomes huge and fast-changing.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

DataKitchen

SEPTEMBER 21, 2023

The uncertainty of not knowing where data issues will crop up next and the tiresome game of ‘who’s to blame’ when pinpointing the failure. Given this, it’s crucial to have in Place meticulous testing protocols for the results of models, visualizations, data delivery mechanisms, and overall data utilization.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Domino Data Lab

JULY 22, 2019

He also really informed a lot of the early thinking about data visualization. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. Along with your database servers, you had, data warehousing and business intelligence. Then things changed.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

CIO Business Intelligence

FEBRUARY 9, 2023

As organizations continue to adapt and accelerate service delivery, they need to look to modern management solutions to simplify and speed access to the infrastructure and application services teams need, when they need them – without increasing business risk.

Cost-Benefit 59

Cost-Benefit Uncertainty Risk Optimization 59

Jet Global

JANUARY 5, 2021

Although Microsoft’s rollout of its two ERP cloud products (D365 F&SCM, and for smaller businesses, D365 Business Central) has been going on for some time, the current climate of economic uncertainty has prompted a lot of companies to hit the pause button on migration, choosing instead to stay the course with their existing Dynamics AX systems.

Reporting 98

Reporting Data Warehouse Finance Cost-Benefit 98

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. Different kinds of sensors generate different types of data.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Sisense

DECEMBER 13, 2021

To thrive in the age of accelerated digital, modern financial institutions need access to actionable business intelligence. Without leveraging this information, businesses can easily fall into the same patterns that can stunt growth–failing to attract new customers and even leaving themselves open to security risks.

Data-driven 59

Data-driven IT Business Intelligence Cost-Benefit 59

datapine

DECEMBER 28, 2021

Statistical analyses have historically been a stalwart of the high-tech and advanced business industries, and today they are more important than ever. With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market.

Statistics 363

Statistics Advertising Visualization Data mining 363