Smart Data Collective

JULY 1, 2023

The resulting structured data is then used to train a machine learning algorithm. Consistency and agreement Establish an agreement metric (e.g., Review annotated data Have a separate team review the annotated data for quality control. This will reduce inconsistencies and errors in annotations.

Metrics 64

Metrics Machine Learning Uncertainty Deep Learning 64

datapine

MAY 27, 2020

It is possible to structure data across a broad range of spreadsheets, but the final result can be more confusing than productive. By using an online dashboard , you will be able to gain access to dynamic metrics and data in a way that’s digestible, actionable, and accurate. Primary KPIs: Treatment Costs. ER Wait Time.

Reporting 245

Reporting Analytics Dashboards Sales 245

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Complete the implementation tasks such as data ingestion and performance testing.

Testing 101

Testing Data Warehouse Metrics Cost-Benefit 101

AWS Big Data

MARCH 2, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Amazon Redshift enables you to use SQL for analyzing structured and semi-structured data with best price performance along with secure access to the data.

Visualization 81

Visualization Dashboards Data Warehouse Metrics 81

Ontotext

JUNE 22, 2023

All derived facts can be further put into context with structured data, which improves data quality and presents researchers with clear evidence and provenance for all insights Then, Ontotext’s Target Discovery provides deeper insights into the data stored in this highly-interlinked knowledge graph, where long sequences of relations can be mined.

Metrics 52

Metrics Statistics Visualization Metadata 52

FineReport

APRIL 11, 2023

Free Download of FineReport What is Business Intelligence Dashboard (BI Dashboard)？ A business intelligence dashboard, also known as a BI dashboard, is a tool that presents important business metrics and data points in a visual and analytical format on a single screen.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

CIO Business Intelligence

DECEMBER 4, 2023

Once focused solely on reducing search and retrieval times, information lifecycle management (ILM) is now critical to workflow automation, identifying and tracking performance metrics, and harnessing the burgeoning potential of AI. Operationalizing data to drive revenue CIOs report that their roles are rising in importance and impact.

Unstructured Data 52

Unstructured Data Data Lake Metadata Business Objectives 52

IBM Big Data Hub

NOVEMBER 29, 2023

Furthermore, AI algorithms’ capacity for recognizing patterns—by learning from your company’s unique historical data—can empower businesses to predict new trends and spot anomalies sooner and with low latency.

Unstructured Data 86

Unstructured Data Data-driven ROI Machine Learning 86

Ontotext

OCTOBER 14, 2021

Investment firms, including one of Ontotext’s clients, spend enormous sums every year buying data from brokers, while also producing original analyses and relying on coverage from news media, especially in regions where raw numbers are harder to find. See figure 1.). Mock Knowledge Graph for New Delhi Ventures.

Reporting 98

Reporting Structured Data Metadata Data Warehouse 98

AWS Big Data

OCTOBER 2, 2023

The function JSON_PARSE allows you to extract the binary data in the stream and convert it into the SUPER data type. With the SUPER data type and PartiQL language, Amazon Redshift extends its capabilities for semi-structured data analysis.

Cost-Benefit 88

Cost-Benefit Metadata Structured Data Management 88

AWS Big Data

FEBRUARY 22, 2023

Data analytic challenges As an ecommerce company, Ruparupa produces a lot of data from their ecommerce website, their inventory systems, and distribution and finance applications. The data can be structured data from existing systems, and can also be unstructured or semi-structured data from their customer interactions.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

AWS Big Data

MARCH 25, 2024

Stream processing, however, can enable the chatbot to access real-time data and adapt to changes in availability and price, providing the best guidance to the customer and enhancing the customer experience. When the model finds an anomaly or abnormal metric value, it should immediately produce an alert and notify the operator.

Data Lake 92

Data Lake Unstructured Data Management Modeling 92

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 78

Data Science Data Analytics Prescriptive Analytics Analytics 78

FineReport

MARCH 7, 2024

Data Acquisition I categorize data sources into three types: (1) First-party data: User factual data, such as financial products purchased at a certain institution, time of purchase, issuing branch, name, phone number, or operational data, such as user behavioral data on a financial app. (2)

Dashboards 52

Dashboards Reporting Advertising Statistics 52

Alation

FEBRUARY 20, 2020

By changing the cost structure of collecting data, it increased the volume of data stored in every organization. Additionally, Hadoop removed the requirement to model or structure data when writing to a physical store.

Data Lake 52

Data Lake Metadata Structured Data Big Data 52

AWS Big Data

MARCH 7, 2023

You can use simple SQL to analyze structured and semi-structured data across data warehouses, data marts, operational databases, and data lakes to deliver the best price performance at any scale. Data in Amazon S3 can be easily queried in place using SQL with Amazon Redshift Spectrum.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

CIO Business Intelligence

JUNE 14, 2023

In the case of intelligent operations, real-time data informs immediate operational decisions. An airline carrier needs to know how many gates are open and how many passengers are on each plane – metrics that change from moment to moment. Consider data types.

Unstructured Data 62

Unstructured Data IT Manufacturing Visualization 62

FineReport

MAY 30, 2024

Data Analyst Conducting comprehensive data analysis to identify trends and patterns for strategic decision-making. Creating dynamic visual reports that facilitate a deeper understanding of key performance metrics. Contributing insights that support organizational objectives through impactful data storytelling.

Visualization 52

Visualization Dashboards KPI Reporting 52

O'Reilly on Data

APRIL 19, 2021

We also asked what kinds of data our “mature” respondents are using. Most (83%) are using structured data (logfiles, time series data, geospatial data). form data). We’d expect most business applications to involve structured data, form data, or text data of some kind.

Enterprise 353

Enterprise Modeling Risk Manufacturing 353

Sisense

MAY 11, 2021

We’re going to nerd out for a minute and dig into the evolving architecture of Sisense to illustrate some elements of the data modeling process: Historically, the data modeling process that Sisense recommended was to structure data mainly to support the BI and analytics capabilities/users.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Octopai

FEBRUARY 8, 2020

The two teams (Lockheed Martin and NASA Jet Propulsion Laboratory) that built the thrusters miscommunicated units (English to metric). Unfortunately, these errors were not caught until too late, for example: 1. So, the software miscalculated. They ignored all the warning signs.

Metadata 63

Metadata Key Performance Indicator Unstructured Data Business Intelligence 63

Sisense

JUNE 8, 2020

“This ability to pull data sets together from a cloud-native environment for better transparency and faster decision making, in turn, can give analysts the speed they need to answer questions quickly and more accurately with more data collaboration,” Lee added. Deeper insights from bigger data sets.

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89

AWS Big Data

NOVEMBER 9, 2023

Third-party APIs – These provide analytics and survey data related to ecommerce websites. This could include details like traffic metrics, user behavior, conversion rates, customer feedback, and more. Flat files – Other systems supply data in the form of flat files of different formats.

Data Warehouse 107

Data Warehouse Testing Data Quality Reporting 107

AWS Big Data

DECEMBER 21, 2023

For the downstream consumption by all departments across the organization, smava’s Data Platform team prepares curated data products following the extract, load, and transform (ELT) pattern. Future vision For the future, smava plans to continue to optimize the Data Platform based on operational metrics.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

Alation

JULY 19, 2022

Historically restricted to the purview of data engineers, data quality information is essential for all user groups to see. Finally, data catalogs can help data scientists promulgate the results of their projects. Data scientists often have different requirements for a data catalog than data analysts.

Metadata 59

Metadata Data Quality Statistics Data Science 59

AWS Big Data

MARCH 26, 2024

The following figure shows some of the metrics derived from the study. With this capability, you can design reports for different levels catering to varying needs: executive reports offering strategic overviews, management reports highlighting operational metrics, and detailed reports diving into the specifics.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Jet Global

FEBRUARY 18, 2020

People often forget his next statement: “90 percent of all that new data is unstructured.” So if we think historically about companies with an ERP, they’re typically using structured data (strictly defined and classified), and they’re not very proactive about pushing insights toward users.

Data-driven 64

Data-driven Machine Learning Cost-Benefit ROI 64

AWS Big Data

JANUARY 22, 2024

The success of the implementation meant assessing various aspects of the data infrastructure, data management, and business outcomes. They classified the metrics and indicators in the following categories: Data usage – A clear understanding of who is consuming what data source, materialized with a mapping of consumers and producers.

Data-driven 87

Data-driven Advertising Metadata Data Architecture 87

IBM Big Data Hub

AUGUST 28, 2023

Data extraction Once you’ve assigned numerical values, you will apply one or more text-mining techniques to the structured data to extract insights from social media data. It weighs down frequently occurring words and emphasizes rarer, more informative terms. positive, negative or neutral).

Data mining 54

Data mining Machine Learning Deep Learning Marketing 54

AWS Big Data

JULY 12, 2023

Etleap integrates key Amazon Redshift features into its product, such as streaming ingestion , Redshift Serverless , and data sharing. In Etleap, pre-load transformations are primarily used for cleaning and structuring data, whereas post-load SQL transformations enable multi-table joins and dataset aggregations.

Data Warehouse 52

Data Warehouse Modeling Dashboards Data Lake 52

Cloudera

DECEMBER 15, 2017

Manufacturing can move from working with approximations to insight based on actual data, as it happens. Overall performance would be improved through better forecasts of product demand and production, through the understanding of plant operations across multiple metrics, and by being able to provide service and support to customers faster.

Manufacturing 40

Manufacturing IoT Machine Learning Data-driven 40

Alation

OCTOBER 28, 2021

To make good on this potential, healthcare organizations need to understand their data and how they can use it. This means establishing and enforcing policies and processes, standards, roles, and metrics. Why Is Data Governance in Healthcare Important? Data governance is the solution to these challenges.

Data Governance 52

Data Governance Measurement Metrics Modeling 52

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Domino Data Lab

MARCH 3, 2019

What metrics are used to evaluate success? There are essentially four types encountered: image/video, audio, text, and structured data. What’s been the impact of using ML models on culture and organization? Who builds their models? How are decisions and priorities set and by whom within the organization?

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

AWS Big Data

APRIL 19, 2023

Different departments within an organization can place data in a data lake or within their data warehouse depending on the type of data and usage patterns of that department.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

FineReport

APRIL 24, 2024

When individuals can see the data presented visually, they are better equipped to make informed decisions based on the insights derived from the visual representations. In essence, the importance of visual representations lies in their ability to bridge the gap between raw data and meaningful insights.

Visualization 52

Visualization Dashboards Interactive Data-driven 52

Analytics Vidhya

SEPTEMBER 3, 2020

Overview Precision and recall are two crucial yet misunderstood topics in machine learning We’ll discuss what precision and recall are, how they work, and. The post Precision vs. Recall – An Intuitive Guide for Every Machine Learning Person appeared first on Analytics Vidhya.

Machine Learning 288

Machine Learning Analytics Metrics Structured Data 288