CIO Business Intelligence

JANUARY 20, 2023

But the benefits of BI extend beyond business decision-making, according to data visualization vendor Tableau , including the following: Data-driven business decisions: The ability to drive business decisions with data is the central benefit of BI.

Business Intelligence 143

Business Intelligence Dashboards Data mining OLAP 143

datapine

AUGUST 29, 2022

To put this into perspective, 40,000 search queries are performed per second via Google alone – this equates to 3.46 million searches per day and 1.2 Best for: anyone that is interested in the topic of big data from a social perspective and how Google searches can tell so much about the human psyche. trillion each year.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

O'Reilly on Data

JULY 25, 2023

Lastly, I tried not to search for help on Google, Stack Overflow, or other websites, which is what I would normally be doing while programming. I didn’t want to nudge it too hard since I was pretending to be a novice, and it wasn’t proactive enough to ask me clarifying questions to probe deeper.

Consulting 245

Consulting Interactive Software IT 245

datapine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs. Compliance.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

AWS Big Data

OCTOBER 4, 2023

Access to data – Data access control is hard, managed differently across organizations, and often requires manual approvals which can be time-consuming process and hard to keep up to date, resulting in analysts not having access to the data they need. Connect data people through shared data and tools to drive business insights.

Metadata 102

Metadata Data Lake Publishing Data Governance 102

Cloudera

APRIL 6, 2022

The telescope’s storage ability is limited — 65 gigabytes — which requires regular sending back of data to keep from filling up the hard drive. The Search for Extraterrestrial Intelligence (SETI) Institute, for example, sees a potential partnership Webb might engage in, with a ground-based radio telescope.

Big Data 101

Big Data Machine Learning Insurance Data Processing 101

Smart Data Collective

APRIL 2, 2019

Data Lakes are among the most complex and sophisticated data storage and processing facilities we have available to us today as human beings. Analytics Magazine notes that data lakes are among the most useful tools that an enterprise may have at its disposal when aiming to compete with competitors via innovation.

Data Lake 83

Data Lake Big Data OLAP Testing 83

CIO Business Intelligence

JUNE 28, 2022

One of my friends yearns to use an AI to search through the text notes taken by call center staff at his bank. No matter how hard data teams try to spell out schema constraints, the resulting schemas for defining the values in the various data fields are either too strict or too loose. Data storage costs are exploding.

Management 135

Management Internet of Things Statistics Data-driven 135

Alation

FEBRUARY 20, 2020

Compute and storage resources are separated, allowing those resources to be rapidly provisioned and scaled up or down independently. Recently, Alation announced a new addition to its AWS offering with the ability to automatically catalog AWS Simple Storage Service (S3). The Problem with Hybrid Cloud Environments. Conclusion.

Data Lake 52

Data Lake ROI Metadata Cost-Benefit 52

Sisense

OCTOBER 6, 2020

It’s “hard,” structured data that answers questions such as “how many?” Consequently, using quantitative data, you can make strategic and tactical decisions that will benefit your organization and drive growth. It’s more complex, and it requires more storage. This is quantitative data. or “how often?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Ontotext

AUGUST 31, 2023

The growth of large language models drives a need for trusted information and capturing machine-interpretable knowledge, requiring businesses to recognize the difference between a semantic knowledge graph and one that isn’t—if they want to leverage emerging AI technologies and maintain a competitive edge. What is a knowledge graph?

Modeling 64

Modeling Optimization Knowledge Discovery Enterprise 64

Alation

OCTOBER 19, 2021

Wasted Resources : If multiple departments all collect and store the same information, you’re spending more money on storage than necessary. Also, duplicate data reduces productivity because people must spend more time searching for the data they need. You need to give your users a way to manage and share data easily.

Recreation/Entertainment 52

Recreation/Entertainment Sales Data-driven Marketing 52

AWS Big Data

JANUARY 18, 2024

AWS Lake Formation and the AWS Glue Data Catalog form an integral part of a data governance solution for data lakes built on Amazon Simple Storage Service (Amazon S3) with multiple AWS analytics services integrating with them. In 2022 , we talked about the enhancements we had done to these services.

Data Lake 92

Data Lake Metadata Data Governance Statistics 92

Cloudera

AUGUST 30, 2018

Digital technologies are changing business models, reshaping how companies go-to-market, win new customers and drive new revenue-producing opportunities. Cloud service architecture – storing and accessing data and services over the Internet instead of your data center or local computer’s hard drive. Tough decisions.

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

FineReport

MARCH 24, 2024

In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making. The primary objective of a data analyst is to transform raw data into meaningful insights that drive organizational improvements. AWS S3: Offers cloud storage for storing and retrieving large datasets.

Statistics 52

Statistics Data mining Visualization Reporting 52

Sisense

SEPTEMBER 3, 2019

As your warehouse will be the central point from which you deliver data to your business, it is important to choose the storage and performance levels that will match the needs of your business. Redshift offers four options for node types that are split into two categories: dense compute and dense storage. We will review these below.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

These characteristics of the problem drive the forecasting approaches. Once built, the data centers can be populated with compute and storage servers at much shorter lead times. Note that this approach assumes that the forecasts directly drive high stakes decisions, and are not judged subsequently.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Domino Data Lab

APRIL 29, 2021

François sees four trends that he thinks are important and are already driving the Keras roadmap. Hyperparameter tuning, architecture search, feature banks & lifelong learning, and AutoML are keys to automating what humans will not be doing 5 years from now. Keeping up is hard to do in data science.)

Data Science 134

Data Science Deep Learning Modeling Forecasting 134

Jet Global

OCTOBER 14, 2022

The road is unclear and to avoid lengthy delays and unhappy customers, those driving the bus need to know about supply chain roadblocks as far in advance as possible. The US has been hit hard. Shipping and supply chain disruptions leave businesses reprioritizing, rescheduling, and floundering to successfully manage inventory.

Finance 52

Finance Reporting Operational Reporting Forecasting 52

Andrew White

JANUARY 9, 2022

But I would search on our web site for AI and mid-size enterprise; or ask Anthony Mullen who leads our AI research in our data and analytics team. Search for data literacy, value pyramid, business value framework, storytelling and decision intelligence to get some ideas from our web page. That being said, it is a very important role.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Domino Data Lab

JULY 22, 2019

Then taken together, these lead to big surges in compute capacity, CPU, memory, networking, storage, etc. What I’m trying to say is this evolution of system architecture, the hardware driving the software layers, and also, the whole landscape with regard to threats and risks, it changes things. Those two ratchet up over time.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109