datapine

MARCH 31, 2022

According to the US Bureau of Labor Statistics, demand for qualified business intelligence analysts and managers is expected to soar to 14% by 2026, with the overall need for data professionals to climb to 28% by the same year. The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Cloudera

SEPTEMBER 17, 2020

Mike Barlow, Author “Learning to Love Data Science” (O’Reilly 2015) and Co-Author “Smart Cities, Smart Future” (Wiley 2018), Cumulus Partners. the Data Lifecycle. the Data Lifecycle. Doug Laney, Principal, Data & Analytics Strategy, Caserta. Tony Baer, Principal, dbInsight.

B2B 95

B2B Enterprise Data-driven Data Science 95

Alation

FEBRUARY 20, 2020

Organizations with software enabling such data democratization and drill-down will excel. Despite the initial investment in Hadoop, self-service visualization products, and data warehouses and marts, enterprises will continue to struggle with satisfying the analytical requirements of everyday business users and analysts.

Data Warehouse 52

Data Warehouse Visualization Enterprise Data Science 52

Jet Global

AUGUST 31, 2022

Initially, BEPS was intended to resolve questions around digital assets such as software and services, which defy traditional notions of goods and services being produced and delivered in specific jurisdictions. The best corporate tax accounting software makes it easy to model scenarios and outcomes based on multiple variables.

Software 52

Software Reporting Forecasting Management 52

Smart Data Collective

JUNE 26, 2019

If they’re successful, you may not know a data breach took place until months later — if at all. Fortunately, there are specialized software options that can discover the data your company has — dark or otherwise — and clean it so that you can eventually use the data to meet your business analysis goals.

ROI 102

ROI Statistics Machine Learning Measurement 102

Cloudera

APRIL 21, 2022

So how exactly is the EHR managing petabytes of data? Most of the massive data-management tasks DoD faces fall into that area where data, analytics, and the cloud intersect.

Metadata 86

Metadata Informatics Insurance Data Processing 86

AWS Big Data

JANUARY 24, 2023

In this post, you will learn how to build a serverless analytics application using Amazon Redshift Data API and Amazon API Gateway WebSocket and REST APIs. The Data API simplifies access to Amazon Redshift because you don’t need to configure drivers and manage database connections. Feel free to connect with him on LinkedIn.

Analytics 58

Analytics Data-driven Management Reporting 58

Cloudera

AUGUST 6, 2018

For example, Crisis Text Line , which provides online support to people in crisis, received a total of 8 m illion text messages in the first two years of its existence between 2013 and 2015. We also know that many organizations simply do not have the technical ability to use data analytics or machine learning effectively.

Machine Learning 50

Machine Learning Internet of Things Cost-Benefit Data-driven 50

BizAcuity

MAY 10, 2022

VMs are nothing but systems that work as computers (using hardware or software) to provide an additional computational environment for enterprises. Storing data is extremely expensive even with VMs during this time. 2015: Google announces Google Kubernetes Engine for the cloud. Google releases Kubernetes. To be continued.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Andrew White

JANUARY 9, 2022

To drive a successful Data Analytics strategy do you think it is a multidisciplinary activity and if so, what additional roles would you expect to see involved. Have a look at this and see if this helps: Data, Analytics and AI Form the Foundation of Data-Driven Decision Making. . We write about data and analytics.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Domino Data Lab

JANUARY 6, 2019

This is especially the case in data science; most enterprise organizations simply cannot hire enough of the data analytics talent they need therefore, so much of these staffing needs must be filled by current employees. They use data infrastructure at work. Data Science from Scratch. Joel Grus (2015).

Data Science 56

Data Science Machine Learning Reporting Visualization 56