CIO Business Intelligence

JUNE 7, 2022

It can be used to reveal structures in data — insurance firms might use cluster analysis to investigate why certain locations are associated with particular insurance claims, for instance. Data analytics and data science are closely related. Generally, the output of data analytics are reports and visualizations.

Data Analytics 123

Data Analytics Diagnostic Analytics Management Analytics 123

AWS Big Data

AUGUST 2, 2023

You’ll learn how to implement a transformative solution that empowers your organization with near-real-time data indexing and visualization capabilities. Solution overview The architecture diagram of FIS’s near-real-time data indexing and visualization solution incorporates various AWS services for specific functions.

Visualization 84

Visualization Insurance Cost-Benefit Finance 84

datapine

OCTOBER 11, 2023

3) Top 15 Warehouse KPIs Examples 4) Warehouse KPI Dashboard Template The use of big data and analytics technologies has become increasingly popular across industries. Your Chance: Want to visualize & track warehouse KPIs with ease? Your Chance: Want to visualize & track warehouse KPIs with ease?

Metrics 217

Metrics KPI Management Cost-Benefit 217

IBM Big Data Hub

MAY 9, 2024

Healthcare organizations need a strong data governance framework to help ensure compliance with regulations like the Health Insurance Portability and Accountability Act of 1996 (HIPAA) in the US and the General Data Protection Regulation (GDPR) in the EU. That’s exactly what enterprise-wide data lineage does.

Data Governance 68

Data Governance Data Quality Insurance Predictive Analytics 68

IBM Big Data Hub

FEBRUARY 14, 2024

Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating. Generative AI can produce high-quality text, images and other content based on the data used for training.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

Smart Data Collective

JANUARY 26, 2022

Last year, we published an article on the ways that big law and big data are intersecting. This is one of the most important ways that big data is changing the legal profession. But things have changed, and seamless software dashboards give critical team members real-time access to the most recent data.

Data Analytics 72

Data Analytics Analytics Predictive Analytics Insurance 72

AWS Big Data

FEBRUARY 12, 2024

However, public health organizations leaders and decision-making officials don’t directly access data collaboration outputs from their Amazon Simple Storage Service (Amazon S3) buckets. Instead, they rely on up-to-date dashboards that help them visualize data insights to make informed decisions quickly. Choose Visualize.

Publishing 93

Publishing Dashboards Metadata Visualization 93

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

AWS Big Data

JUNE 6, 2023

They have to then review the data statistics to identify data quality rules, and write code to implement these checks in their data pipelines. Data engineers must then write code to monitor data pipelines, visualize quality scores, and alert them when anomalies occur.

Data Quality 96

Data Quality Statistics Data Lake Visualization 96

Domino Data Lab

JULY 28, 2021

At this stage, data scientists begin writing code for computation and model-building. To model anything highly technical and computationally — machine learning, deep learning, big data analytics, and natural-language processing, to name a few — code-based tools (such as R and Python) are usually preferred.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

AWS Big Data

APRIL 7, 2023

Amazon EMR is a big data service offered by AWS to run Apache Spark and other open-source applications on AWS to build scalable data pipelines in a cost-effective manner. In addition, you can visualize time series data, drill down into individual log events, and export query results to CloudWatch dashboards.

Data Processing 80

Data Processing Metrics Visualization Insurance 80

Domino Data Lab

MARCH 11, 2021

Machine learning (ML) frameworks are interfaces that allow data scientists and developers to build and deploy machine learning models faster and easier. Machine learning is used in almost every industry, notably finance , insurance , healthcare , and marketing.

Machine Learning 143

Machine Learning Deep Learning Insurance Modeling 143

O'Reilly on Data

SEPTEMBER 11, 2018

If we’re going to think about the ethics of data and how it’s used, then we have to take into account how data flows. Data, even “big data,” doesn’t stay in the same place: it wants to move. It can't control what an insurance company, or even a government agency, might do with that data: deny medical benefits?

Advertising 165

Advertising Insurance Experimentation Strategy 165

Octopai

JUNE 26, 2020

Steve, the Head of Business Intelligence at a leading insurance company, pushed back in his office chair and stood up, waving his fists at the screen. We’re dealing with data day in and day out, but if isn’t accurate then it’s all for nothing!” Without it, enterprises are poised to forfeit the deep insights that big data can offer.

Metadata 84

Metadata Data Governance Enterprise Reporting 84

Sisense

DECEMBER 11, 2019

Scott whisked us through the history of business intelligence from its first definition in 1958 to the current rise of Big Data. Scott outlined how this change has driven a shift in the role of data teams , who now occupy strategic business positions. shone the spotlight on best practices with data lakes.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

erwin

JUNE 27, 2019

Additional challenges, such as increasing regulatory pressures – from the General Data Protection Regulation (GDPR) to the Health Insurance Privacy and Portability Act (HIPPA) – and growing stores of unstructured data also underscore the increasing importance of a data modeling tool.

Measurement 81

Measurement Modeling Unstructured Data Metadata 81

IBM Big Data Hub

OCTOBER 12, 2023

They’re built on machine learning algorithms that create outputs based on an organization’s data or other third-party big data sources. Sometimes, these outputs are biased because the data used to train the model was incomplete or inaccurate in some way.

Cost-Benefit 78

Cost-Benefit Metadata Data Governance Modeling 78

Sisense

MARCH 27, 2019

Real time business intelligence is the use of analytics and other data processing tools to give companies access to the most recent, relevant data and visualizations. To provide real-time data, these platforms use smart data storage solutions such as Redshift data warehouses , visualizations, and ad hoc analytics tools.

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

Smart Data Collective

MAY 6, 2019

It could be that Uber and other companies see a financial imperative in automating their future workforce so that they don’t have to fret about providing insurance and other benefits to a large coterie of human employees.

Management 104

Management Insurance Data Collection Cost-Benefit 104

IBM Big Data Hub

JULY 17, 2023

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.

Machine Learning 63

Machine Learning Data Warehouse Modeling Cost-Benefit 63

AWS Big Data

MARCH 27, 2024

With zero-ETL features for data integration on AWS, it is effortless to build a view of patients securely, cost-effectively, and with minimal effort. Analytics Specialist Solutions Architect based out of Atlanta, specialized in building enterprise data platforms, data warehousing, and analytics solutions.

Data Analytics 93

Data Analytics Analytics Data Warehouse Data Lake 93

datapine

MAY 31, 2022

Since we live in a digital age, where data discovery and big data simply surpass the traditional storage and manual implementation and manipulation of business information, companies are searching for the best possible solution for handling data. It is evident that the cloud is expanding. It’s completely free!

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

IBM Big Data Hub

APRIL 18, 2024

Image (55%): Gen AI can simulate how a product might look in a customer’s home or reconstruct an accident scene to assess insurance claims and liability. Instead of a dry lecture, it presents the concept visually with interactive simulations and breaks it down into smaller, more manageable steps.

Cost-Benefit 91

Cost-Benefit Modeling Manufacturing Interactive 91

IBM Big Data Hub

JUNE 15, 2023

Examples of non-fixed assets include office supplies, computers, audio-visual equipment and office furniture. This can lead to a safer workplace environment as well as a reduction in theft—and lower insurance rates—over time. What is parts inventory?

Management 68

Management Broadcasting Cost-Benefit IoT 68

Alation

FEBRUARY 13, 2020

Key analyst firms like Forrester, Gartner, and 451 Research have cited “ soaring demands from data catalogs ”, pondered whether data catalogs are the “ most important breakthrough in analytics to have emerged in the last decade ,” and heralded the arrival of a brand new market: Machine Learning Data Catalogs.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

AWS Big Data

JULY 25, 2023

This gives a visual representation of peaks and lows in your consumption over your chosen period of time. Analytics Specialist Solutions Architect based out of Atlanta, specialized in building enterprise data platforms, data warehousing, and analytics solutions. You can also try different ranges to see the results.

Metrics 83

Metrics Data Warehouse Dashboards Snapshot 83

Domino Data Lab

JULY 28, 2021

Improvements in storage have made it possible to capture, manage and use this data in as fast as real time. These advances have had huge ramifications across industries ranging from finance and banking to healthcare and insurance. The post An In-Depth View of Data Science appeared first on Data Science Blog by Domino.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

AWS Big Data

MARCH 7, 2023

And AWS Data Exchange helps publish your data to third parties for consumption through AWS Marketplace. It enables you to create interactive dashboards, visualizations, and advanced analytics with ML insights. Amazon SageMaker is the ML platform for all your data science workload needs.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

Occam's Razor

JULY 15, 2014

Allow me to visualize the problem above, and leverage that visualization to present the solution. In order to make smart decisions about the data you need four things. As you might have guessed, you are at the very right of the above visual, with most access to data, the ability to analyze it ( inshallah! )

Dashboards 159

Dashboards Key Performance Indicator Snapshot Slice and Dice 159

Domino Data Lab

JUNE 2, 2019

Her talk addressed career paths for people in data science going into specialized roles, such as data visualization engineers, algorithm engineers, and so on. If your business is using big data and putting dashboards in front of analysts, you’re missing the point.”. Being model-driven is like using GPS.”. “If

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Domino Data Lab

JULY 22, 2019

He also really informed a lot of the early thinking about data visualization. It involved a lot of interesting work on something new that was data management. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. That was the origin of big data.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

FEBRUARY 4, 2019

I double-dare you not to visualize that cohort! When execs at the company got their grubby paws on our analysis, two senior VPs spent an entire day pouring through pages of data visualizations and analysis. Stakeholders increasingly depend on results from data science teams. and apply 17th century thinking about data.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. But for them, big data evolved into all data and all formats.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52