Smart Data Collective

JULY 30, 2019

Big data is being used more frequently in healthcare facilities all over the world. One report shows that the global market for big data in healthcare is expected to reach $68.75 However, this figure misses some important nuances, such as which areas of medicine are using big data the most. billion in 2025.

Big Data 102

Big Data Software Risk Data Collection 102

Smart Data Collective

DECEMBER 11, 2019

In 2013, Wired published a very interesting article about the role of big data in the field of integrated business systems. Author James Kobielus, the lead AI and data analyst for Wikibon and former IBM expert, said that there are a number of ways that integrated business systems are tapping the potential of AI and big data.

Big Data 103

Big Data Cost-Benefit Software Risk 103

Smart Data Collective

JULY 11, 2019

Big data plays a prominent role in almost every facet of our lives these days. We are witnessing a growing number of companies using big data in healthcare , criminal justice and many other fields. One area that benefits from big data the most is website management and outreach. More nuanced analytics.

Big Data 90

Big Data Machine Learning Marketing Interactive 90

Smart Data Collective

OCTOBER 13, 2021

Big data has been very important in the creative and entertainment sectors. Many artists are using big data to improve the quality of their work. We mentioned in the past that big data has been very valuable for Hollywood. A growing number of screenwriters are discovering the wonders of big data.

Data-driven 128

Data-driven Big Data Recreation/Entertainment Data Analytics 128

CIO Business Intelligence

MAY 18, 2023

The Unicorn Project: A Novel About Developers, Digital Disruption, and Thriving in the Age of Data (IT Revolution Press, 2019) tells the story of Maxine, a senior lead developer, as she tries to survive in a heartless bureaucracy overrun with paperwork and committees. CTO and co-founder of Digibee. Novels that entertain and teach Kreslins Jr.

IT 130

IT Recreation/Entertainment Software Technology 130

Smart Data Collective

AUGUST 27, 2020

Credit card companies store a lot of data on us. This data could put our privacy at risk. Amazon Prime feeds everything the average person needs with startling and polished ease, holding your credit card data so cleanly that it takes little more than a single click to make a purchase. It’s no secret we live in a digital world!

Big Data 114

Big Data Finance Risk Insurance 114

Smart Data Collective

SEPTEMBER 29, 2022

Big data has changed the marketing profession in extraordinary ways. There are many different ways that marketers can leverage data analytics to create successful marketing strategies. Data-driven email marketing strategies have very high ROIs. Many data-driven marketers are taking advantage of Microsoft Outlook.

Data-driven 145

Data-driven Marketing Strategy Big Data 145

Sisense

MAY 26, 2020

In this post, we’ll discuss these challenges in detail and include some tips and tricks to help you handle text data more easily. Unstructured data and Big Data. Most common challenges we face in NLP are around unstructured data and Big Data. is “big” and highly unstructured.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

Smart Data Collective

JUNE 18, 2021

However, big data has also led to some concerns with racial profiling and other biases. Big data and machine learning technology are helping make it more equitable and reducing the burden on the prison system. Predictive Analytics and Big Data Assists with Criminal Justice Reform.

Predictive Analytics 93

Predictive Analytics Forecasting Analytics Big Data 93

AWS Big Data

DECEMBER 17, 2024

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. Industry-leading price-performance Amazon Redshift offers up to three times better price-performance than alternative cloud data warehouses.

Data Lake 81

Data Lake Data Warehouse Data-driven Optimization 81

Smart Data Collective

MARCH 27, 2020

Traditional data, like demographics, continues to be a factor in risk assessment. Other types of traditional data auto insurers consider are your credit score, driving history, and how frequently you submit claims. It also places data collection and analysis directly in the hands of the insurance company. This includes: Age.

Insurance 137

Insurance Measurement Risk Cost-Benefit 137

Juice Analytics

OCTOBER 30, 2018

“Democratization of data” can seem perpetually right around the corner (if you’re listening to vendor marketing) or a distant illusion (if you are in most organizations). It shows how the usefulness of data seems to decline as you try to reach more users. from way back in 2013). to be used by Citizen Data Scientists (CDS).

IT 58

IT Big Data Data Lake Data-driven 58

IBM Big Data Hub

NOVEMBER 2, 2023

This allows applications to run quickly in any environment—whether on- or off-premises—from a desktop, private data center or public cloud. To understand how Kubernetes came to dominate the cloud computing and microservices marketplaces, we have to examine its history. Virtualization relies on software known as a hypervisor.

Software 100

Software Management Enterprise Data Processing 100

Occam's Razor

FEBRUARY 25, 2014

There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. But if the occasion is a strategic discussion, any occasion about taking action on data, then you need to get off data as fast as you can.

Visualization 145

Visualization Key Performance Indicator Dashboards Metrics 145

IBM Big Data Hub

OCTOBER 19, 2023

In 2013, Landmark Retail’s financial planning and analysis team faced challenges as they managed financial processes across more than 1200 stores. Their business model was very complex, and it required massive data volumes to be processed. The group’s journey started as a single store in Bahrain five decades ago.

Forecasting 91

Forecasting Data-driven Business Analysis Sales 91

Sisense

MARCH 4, 2020

And all of this change comes down to one little word: data. In 2013 , the healthcare industry produced 153 exabytes of data; in 2020, that volume is estimated to increase over 15-fold to 2,314 exabytes. It’s projected that healthcare data is expanding faster than in manufacturing, financial services, and media.

Digital Transformation 94

Digital Transformation Cost-Benefit Data-driven Big Data 94

Sisense

DECEMBER 11, 2019

With data growing at a staggering rate, managing and structuring it is vital to your survival. In this piece, we detail the Israeli debut of Periscope Data. Driving startup growth with the power of data. Driving startup growth with the power of data. It’s the aspiration of every startup.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

AWS Big Data

MARCH 13, 2024

For ingesting these external data sources, Vector databases have evolved, which can store vector embeddings of the data source and allow for similarity searches. It allows distributed data processing to generate and store embeddings for a large amount of data, parallelizing across multiple GPUs.

Data Processing 123

Data Processing Dashboards Machine Learning Metrics 123

Sisense

JUNE 8, 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. Deeper insights from bigger data sets.

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89

Smart Data Collective

SEPTEMBER 22, 2021

We’ll look at how it’s grown on the market and the data it’s provided. Dogecoin is an alt-coin to Bitcoin that was launched back on December 6th 2013. However, we don’t talk as much about the role of blockchain in the inception of these cryptocurrencies and new digital coins on the scene. Blockchain Made Dogecoin Possible.

Risk 130

Risk Marketing Measurement IT 130

IBM Big Data Hub

FEBRUARY 29, 2024

Containers and Docker Container technology fundamentally changed in 2013 with Docker’s introduction and has continued unabated into this decade, steadily gaining in popularity and user acceptance. Containers are all about distributing and protecting data and running apps. What is a container?

Data Processing 82

Data Processing Software Marketing Optimization 82

Smart Data Collective

JULY 25, 2019

In the early stages of basketball, there was very little use for data and analytics. Sports, in general, were largely anti-data science simply because it didn’t seem like it could apply to a game. Fast forward to the present day, and data science and data analytics are being used in virtually every single sport.

Analytics 95

Analytics Data Science Data Analytics Risk 95

AWS Big Data

JULY 11, 2024

Embeddings play an important role in understanding and processing complex data. Embeddings are dense vector representations of objects—proteins in our case—that capture the essence of their properties in a continuous vector space. They not only reduce dimensionality but also capture and encode intrinsic properties. Mikolov, T.;

Machine Learning 96

Machine Learning Modeling Data Processing Testing 96

Insight

MAY 20, 2020

Getting started with Spark & batch processing frameworks What you need to know before diving into big data processing with Apache Spark and other frameworks. When I was an Insight Data Engineering Fellow in 2016, I knew very little about Apache Spark prior to starting the program.

Data Warehouse 106

Data Warehouse Optimization Interactive Cost-Benefit 106

Smart Data Collective

APRIL 10, 2019

Metadata is basically a trail of data that is spread out across a network. Every time someone goes shopping or buys a service (whether online or offline), their personal data is entered into a computer database. Then they will start culling the data from multiple sources to produce a clear picture of that person’s vulnerabilities.

Metadata 88

Metadata Risk Technology Management 88

IBM Big Data Hub

FEBRUARY 26, 2024

The financial services industry has been in the process of modernizing its data governance for more than a decade. Data lineage helps during these investigations. Because lineage creates an environment where reports and data can be trusted, teams can make more informed decisions. How will one decision affect customers?

Cost-Benefit 90

Cost-Benefit Metadata Data Governance Reporting 90

IBM Big Data Hub

JANUARY 10, 2023

The advantage to NPS clients is that they can store infrequently used data in a cost-effective manner without having to move that data into a physical data warehouse table. The external table capability of NPS makes it transparent to a client that some of the data resides externally to the data warehouse.

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 52

Howard Dresner

AUGUST 27, 2013

A participant in one of my Friday #BIWisdom tweetchats observed that “in the mobile ecosystem, Big Data + social + the NSA data surveillance news are a perfect storm.” Our 2013 Wisdom of Crowds® study also found that many small organizations are embracing mobile BI and cloud BI as a means of side-stepping traditional computing.

Business Intelligence 60

Business Intelligence Finance Risk Data-driven 60

Howard Dresner

JANUARY 20, 2014

Examples: user empowerment and the speed of getting answers (not just reports) • There is a growing interest in data that tells stories; keep up with advances in storyboarding to package visual analytics that might fill some gaps in communication and collaboration • Monitor rumblings about trend to shift data to secure storage outside the U.S.

Business Intelligence 56

Business Intelligence Software Predictive Analytics Data Processing 56

AWS Big Data

FEBRUARY 1, 2024

After discussing the requirements, we recommended using Amazon EMR Serverless as their platform for data preprocessing. EMR Serverless is well suited for large-scale data processing and eliminates the need for infrastructure maintenance. The customer was able to preprocess hundreds of TBs of data within a week using EMR Serverless.

Metadata 111

Metadata Modeling Data Processing Unstructured Data 111

AWS Big Data

AUGUST 7, 2023

Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more accurate financial, marketing, and operational decisions. Using historical data, Forecast automatically trains multiple algorithms and produces a forecasting model, also known as a predictor.

Forecasting 90

Forecasting Data Warehouse Machine Learning Modeling 90

FineReport

JULY 18, 2022

Its main products, FineReport and FineBI, focusing on customers’ needs, have created data analysis tools and industry-specific application solutions that are more suitable for Asian enterprises. This is the second time FanRuan has won this honor after being mentioned by Gartner in 2021. In 2021, FanRuan had a cumulative revenue of 1.14

Business Intelligence 52

Business Intelligence Marketing Enterprise Manufacturing 52

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 112

Data Warehouse Data Lake Analytics Machine Learning 112

AWS Big Data

NOVEMBER 14, 2023

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it straightforward and cost-effective to analyze all your data at petabyte scale, using standard SQL and your existing business intelligence (BI) tools. Today, tens of thousands of customers run business-critical workloads on Amazon Redshift.

Data Warehouse 64

Data Warehouse Analytics Testing Cost-Benefit 64

The Data Visualisation Catalogue

DECEMBER 23, 2018

One of the methods I used during my investigatation into the impact of Virtual Reality (VR) technology on data visualization and infographic design was to simply search online what other people have been saying. and So Far, VR-Enabled Data Visuailzation is Nonsense. 5 Amazing Advantages of Virtual Reality in Data Visualization 2.

Visualization 43

Visualization Big Data Finance Technology 43

IBM Big Data Hub

OCTOBER 16, 2023

Containers have increased in popularity and adoption ever since the release of Docker in 2013, an open-source platform for building, deploying and managing containerized applications. Containerization involves packaging software code with the libraries and dependencies required to run the code.

Dashboards 71

Dashboards Data Processing Metrics Cost-Benefit 71

Sisense

JUNE 26, 2020

What are data visualizations? Simply put, data visualizations allow humans to explore data in many different ways and see patterns and insights that would not be possible when looking at the raw form. We have three methods for exploratory data analysis: Univariate analysis. sns.FacetGrid(data, hue="Species", size=5).map(sns.distplot,

Visualization 97

Visualization Unstructured Data Measurement Data-driven 97