Smart Data Collective

NOVEMBER 6, 2019

Big data and cannabis are two seemingly different concepts. CBD companies are relying more on big data than ever before. In June, Nicole Martin wrote a very detailed article for Forbes on the role of big data in operations management for the cannabis industry. Data helps to drive every industry now.

Big Data 48

Big Data Marketing Advertising Testing 48

datapine

JANUARY 6, 2022

2) How To Interpret Data? 3) Why Data Interpretation Is Important? 4) Data Analysis & Interpretation Problems. 5) Data Interpretation Techniques & Methods. 6) The Use of Dashboards For Data Interpretation. Business dashboards are the digital age tools for big data. Dependable.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

datapine

APRIL 16, 2019

The term ‘big data’ alone has become something of a buzzword in recent times – and for good reason. Working with a team who knows the data you are working with opens the door to helpful and insightful feedback. With more people understanding the data at play, you’ll have an opportunity to receive more credible feedback.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

CIO Business Intelligence

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Business intelligence examples Reporting is a central facet of BI and the dashboard is perhaps the archetypical BI tool.

Business Intelligence 136

Business Intelligence Dashboards Data mining OLAP 136

Smart Data Collective

APRIL 14, 2021

Advancement in big data technology has made the world of business even more competitive. The proper use of business intelligence and analytical data is what drives big brands in a competitive market. Business intelligence tools can include data warehousing, data visualizations, dashboards, and reporting.

Business Intelligence 133

Business Intelligence Dashboards Visualization Big Data 133

Jet Global

MAY 20, 2022

Use these steps to find insights and patterns, so you can be the one that shares an actionable data point that leads to the upcoming big-ticket item in your strategic plan. Step #1: Data collection. Whether you are part of a small company or leading an enterprise, you will want to collect data from multiple sources.

Big Data 52

Big Data Sales Reporting Marketing 52

Rocket-Powered Data Science

JUNE 17, 2022

Here is a list of my top moments, learnings, and musings from this year’s Splunk.conf : Observability for Unified Security with AI (Artificial Intelligence) and Machine Learning on the Splunk platform empowers enterprises to operationalize data for use-case-specific functionality across shared datasets. Splunk Cloud Platform Dashboard.

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

AWS Big Data

NOVEMBER 15, 2023

The CLEA dashboards were built on the foundation of the Well-Architected Lab. For more information on this foundation, refer to A Detailed Overview of the Cost Intelligence Dashboard. These ingested datasets are used as a source in CLEA dashboards. This is done at the group level.

Dashboards 97

Dashboards Analytics Metadata Data Warehouse 97

AWS Big Data

MAY 16, 2023

QuickSight meets varying analytics needs with modern interactive dashboards, paginated reports, natural language queries, ML-insights, and embedded analytics, from one unified service. Solution overview The following highly simplified architectural diagram illustrates the smart sensor data collection and processing.

Dashboards 80

Dashboards Statistics Data Collection Business Intelligence 80

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

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. Special feature: in-memory storage to boost data processing.

Business Intelligence 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

CIO Business Intelligence

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Analytics 128

Analytics Data Science Unstructured Data Data mining 128

datapine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Smart Data Collective

JUNE 3, 2021

In 2016 experts projected that the “ big data ” industry would be worth somewhere around $30 billion by 2022. It is a capable tool for any size scenario, and users like how easy it is to transfer data with a drag-and-drop interface similar to PC desktops.

Big Data 120

Big Data Software Finance Dashboards 120

O'Reilly on Data

MARCH 24, 2020

Beyond the autonomous driving example described, the “garbage in” side of the equation can take many forms—for example, incorrectly entered data, poorly packaged data, and data collected incorrectly, more of which we’ll address below. Why is high-quality and accessible data foundational?

Machine Learning 343

Machine Learning Statistics Data Quality Modeling 343

AWS Big Data

AUGUST 23, 2023

It uses Amazon Simple Storage Service (Amazon S3) as the primary data storage for indexes, adding durability for your data. Collections are able to take advantage of the S3 storage layer to reduce the need for hot storage, and reduce cost, by bringing data into local store when it’s accessed.

Snapshot 96

Snapshot Dashboards Visualization Metrics 96

AWS Big Data

JULY 13, 2023

Engineering leadership chose Amazon QuickSight , which allowed Vega to add insightful analytics into its platform with customized interactive visuals and dashboards, while scaling at a lower cost without the need to manage infrastructure. In this post, we discuss how Vega uses QuickSight to bring cloud intelligence solutions to our customers.

Cost-Benefit 80

Cost-Benefit Dashboards Optimization Visualization 80

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Becoming a data engineer.

Analytics 116

Analytics Data Science Statistics Unstructured Data 116

AWS Big Data

JULY 13, 2023

This post describes how Amazon QuickSight dashboards can help you visualize your support cases in a single pane of glass using data extracts from Systems Manager. Enable QuickSight in your data collection account. The data source for the dashboard will be an Athena view of your existing support_cases database.

Dashboards 72

Dashboards Visualization Interactive Management 72

erwin

JUNE 11, 2020

Several hospitals have also employed data intelligence tools in their services and operational processes. These hospitals are making use of dashboards that provide summary information on hospital patient trends, treatment costs, and waiting times. Expanding big data. Data quality management. Healthcare.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

FineReport

MARCH 24, 2024

Data Analyst Job Description: Major Tasks and Duties Data analysts collaborate with management to prioritize information needs, collect and interpret business-critical data, and report findings. BI tools : Enables data aggregation, analysis, and visualization through dashboards and shared reports.

Statistics 52

Statistics Data mining Visualization Reporting 52

FineReport

JULY 18, 2022

The features you or your company need are core factors influencing your selection of the data analytics tool. For example, if you want the features of data visualization , such as stunning dashboards and rich charts, business intelligence tools are more suitable for you than a pure programming tool. 15 Best Data Analysis Tools.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

Cloudera

JANUARY 20, 2021

The data journey is not linear, but it is an infinite loop data lifecycle – initiating at the edge, weaving through a data platform, and resulting in business imperative insights applied to real business-critical problems that result in new data-led initiatives. Data Collection Challenge.

Digital Transformation 107

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 107

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 78

Data Science Data Analytics Prescriptive Analytics Analytics 78

FineReport

JUNE 24, 2021

Originally, Excel has always been the “solution” for various reporting and data needs. However, along with the diffusion of digital technology, the amount of data is getting larger and larger, and data collection and cleaning work have become more and more time-consuming.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

FineReport

FEBRUARY 5, 2020

Both the investment community and the IT circle are paying close attention to big data and business intelligence. Overall, as users’ data sources become more extensive, their preferences for BI are changing. They prefer self-service development, interactive dashboards, and self-service data exploration.

Metadata 98

Metadata Dashboards Informatics Visualization 98

IBM Big Data Hub

MARCH 29, 2024

Prometheus metrics provide data points that consist of the metric name, label, timestamp and value by using a query language called PromQL. PromQL allows developers and IT departments to aggregate data metrics and turn them into histograms–graphs and dashboards for greater visualization.

Metrics 77

Metrics Visualization Measurement Optimization 77

AWS Big Data

FEBRUARY 26, 2024

It empowers businesses to explore and gain insights from large volumes of data quickly. Amazon OpenSearch Ingestion is a fully managed, serverless data collection solution that efficiently routes data to your OpenSearch Service domains and Amazon OpenSearch Serverless collections.

Dashboards 64

Dashboards Testing Metrics Optimization 64

Cloudera

AUGUST 20, 2021

As a result, CDP-enabled data products can meet multiple and varying functional and non-functional requirements that correspond to product attributes, each fulfilling specific customer needs. A single pane for visual analytic s is being delivered by bringing together analytical outputs produced by teams using different data experiences.

Strategy 96

Strategy Cost-Benefit Visualization Data Warehouse 96

FineReport

MARCH 29, 2023

For various types of complex format reports and dashboards, FineReport provides corresponding design modes for you to easily and efficiently create desired effects that can be displayed on any device such as PCs, smart devices, and large screens. FineReport is a very mature reporting tool launched by Fanruan Software in 2006.

Reporting 52

Reporting Visualization Dashboards Enterprise 52

IBM Big Data Hub

FEBRUARY 6, 2024

DNS Insights captures a wide range of data points directly from NS1 Connect’s global infrastructure, which we then make available to customers through pre-built dashboards and targeted data feeds.

Dashboards 66

Dashboards Data Collection Modeling IT 66

Alation

MARCH 5, 2021

Why is Data Governance Important? As data collection and storage grow, so too does the need for data governance. Businesses must learn the most efficient methods to gather, organize, and analyze data, and data governance creates a foundation to improve data quality and accuracy.

Data Governance 59

Data Governance Data Quality Dashboards Risk 59

datapine

NOVEMBER 19, 2019

In business intelligence, we are evolving from static reports on what has already happened to proactive analytics with a live dashboard assisting businesses with more accurate reporting. Some more examples of AI applications can be found in various domains: in 2020 we will experience more AI in combination with big data in healthcare.

Technology 279

Technology Internet of Things IT IoT 279

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! Data analysts might report to a CIO, a Chief Data Officer (CDO), or possibly to a data scientist or business analyst team leader.

Statistics 97

Statistics Metrics Visualization Finance 97

IBM Big Data Hub

AUGUST 11, 2023

User-friendliness: The software should be easy to use, with intuitive dashboards and user interfaces. Taking MES software to the next level A manufacturing execution system (MES) is an important means of data collection and an important part of digital transformation for manufacturers.

Software 69

Software Manufacturing Cost-Benefit ROI 69

Sisense

MAY 18, 2020

In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. AM: How is data collected to make these recommendations?

Analytics 98

Analytics Digital Transformation Data-driven Sales 98

IBM Big Data Hub

JULY 26, 2023

Adequate planning, data collection, and stakeholder involvement are crucial for a successful implementation. Data Visualization Tools: Data visualization tools enable organizations to visualize budget data and financial insights.

Cost-Benefit 57

Cost-Benefit Optimization Visualization Data-driven 57