Rocket-Powered Data Science

JULY 14, 2023

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage.

Analytics 166

Analytics Internet of Things Data Science Prescriptive Analytics 166

Smart Data Collective

FEBRUARY 3, 2021

As time goes by, the benefits of big data will be largely impactful as business activities continue to pose a huge environmental risk and many people begin investing dependent on the impact of these businesses. How Big Data Is Changing the Type Of Information Under Analysis of the Financial Markets.

Big Data 140

Big Data Marketing Data Analytics Analytics 140

erwin

SEPTEMBER 10, 2020

Yet given this era of digital transformation and fierce competition, understanding what data you have, where it came from, how it’s changed since creation or acquisition, and whether it poses any risks is paramount to optimizing its value. Data Lineage Tells an Important Origin Story.

Data Governance 131

Data Governance Key Performance Indicator Metadata Digital Transformation 131

CIO Business Intelligence

MARCH 9, 2022

As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Big Data 119

CIO Business Intelligence

MAY 24, 2022

Organisations are increasingly migrating their data to public cloud services to underpin their enterprise data platform. Unless properly executed such a migration can result in spiralling cloud charges, unexpected security and governance risks, and performance issues.

Enterprise 98

Enterprise Cost-Benefit Structured Data Data-driven 98

CIO Business Intelligence

OCTOBER 2, 2024

This is especially important to companies whose bottom lines depend on having robust, real-time pictures of their customers and prospects – any organization dealing with risk assessment, fraud prevention and detection, or marketing. Thankfully, the challenges are being met, and companies are now offering options.

Analytics 115

Analytics Unstructured Data Interactive Data Governance 115

Cloudera

OCTOBER 28, 2021

Since the beginning of Commercial insurance as we know it today, insurers have been using data generated by other industries to assess and rate risks. In the days of Lloyd’s Coffee House , insurers gathered data about cargo, voyages, seasonal weather and the performance history of vessels and mariners to underwrite risks.

Insurance 97

Insurance Risk Unstructured Data Data-driven 97

erwin

AUGUST 31, 2023

Let’s explore the continued relevance of data modeling and its journey through history, challenges faced, adaptations made, and its pivotal role in the new age of data platforms, AI, and democratized data access. Embracing the future In the dynamic world of data, data modeling remains an indispensable tool.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

CIO Business Intelligence

JANUARY 24, 2024

At Vanguard, “data and analytics enable us to fulfill on our mission to provide investors with the best chance for investment success by enabling us to glean actionable insights to drive personalized client experiences, scale advice, optimize investment and business operations, and reduce risk,” Swann says.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

DECEMBER 13, 2023

Applications such as financial forecasting and customer relationship management brought tremendous benefits to early adopters, even though capabilities were constrained by the structured nature of the data they processed. have encouraged the creation of unstructured data.

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

AWS Big Data

MAY 30, 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. Solution overview Amazon Redshift is an industry-leading cloud data warehouse.

Data Warehouse 115

Data Warehouse Data Lake Cost-Benefit Structured Data 115

CIO Business Intelligence

APRIL 4, 2024

This involves rigorous evaluation of potential benefits, risks, and costs associated with each AI initiative to ensure investments are prudent and aligned with our risk-return profile.” Our biggest risk is if our employees don’t use AI as much as they could.” On-time delivery has improved substantially,” she says.

Enterprise 134

Enterprise Cost-Benefit Forecasting Sales 134

datapine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. They prevent you from drowning in data.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

CIO Business Intelligence

FEBRUARY 20, 2024

In this way, manufacturers would be able to reduce risk, increase resilience and agility, boost productivity, and minimise their environmental footprint. Industrial knowledge graphs employ industry-standard metadata to contextualize and structure data so it can be used in large language models.

Data Architecture 98

Data Architecture Unstructured Data Manufacturing IT 98

erwin

JUNE 26, 2020

A data catalog uses metadata, data that describes or summarizes data, to create an informative and searchable inventory of all data assets in an organization. Clearly documents data catalog policies, rules and shares information assets. Managing a remote workforce creates new challenges and risks.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

CIO Business Intelligence

SEPTEMBER 20, 2023

Naturally, what you’re able to do – and how much risk that involves – depends at least as much on the state of your own enterprise data platform. Your data platform is the foundation for foundation models,” says Ram Venkatesh, Chief Technology Officer at Cloudera. Did we solve the problem? How many times did they have to call?

Insurance 131

Insurance Unstructured Data Cost-Benefit Interactive 131

Octopai

JUNE 26, 2020

It provides the value and purpose of the data content, thereby becoming an extremely effective tool for quickly locating information – a necessity for BI groups dealing with analytics and business user reporting. According to Donna Burbank from Dataversity , “metadata helps both IT and business users understand the data they are working with.

Metadata 98

Metadata Data Governance Enterprise Reporting 98

DataKitchen

FEBRUARY 27, 2024

Challenges in Developing Reliable LLMs Organizations venturing into LLM development encounter several hurdles: Data Location: Critical data often resides in spreadsheets, characterized by a blend of text, logic, and mathematics.

Data Quality 117

Data Quality Unstructured Data Testing Data-driven 117

datapine

APRIL 28, 2023

What Are Data Types A data type is an attribute that programmers use to tell a computer how to classify and interpret a piece of data. Understanding and implementing data types in the correct way minimizes the risk of errors ensuring efficient programs are built.

Data-driven 200

Data-driven Reporting Visualization Interactive 200

DataRobot Blog

JANUARY 17, 2023

establishing an appropriate price illiquid securities, predicting where liquidity will be located, and determining appropriate hedge ratios) as well as more generally: the existence of good historical trade data on the assets to be priced (e.g., The post A Data Scientist Explains: When Does Machine Learning Work Well in Financial Markets?

Machine Learning 87

Machine Learning Marketing Experimentation Data-driven 87

IBM Big Data Hub

JULY 26, 2023

AI solutions work by collecting asset performance data and feeding it into machine learning models, which can predict asset health and risk of failure. This use case shows how AI can help by processing unstructured image and video data in addition to structured data in the previous examples.

Manufacturing 73

Manufacturing Optimization Cost-Benefit Reporting 73

AWS Big Data

AUGUST 15, 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. This significantly reduces the risk of errors associated with data transfer or movement and data copies.

Data Lake 122

Data Lake Data Warehouse Data Governance Publishing 122

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

Cloudera

SEPTEMBER 15, 2022

Today’s platform owners, business owners, data developers, analysts, and engineers create new apps on the Cloudera Data Platform and they must decide where and how to store that data. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

Metadata 87

Metadata Big Data Optimization Machine Learning 87

Cloudera

SEPTEMBER 29, 2021

Through processing vast amounts of structured and semi-structured data, AI and machine learning enabled effective fraud prevention in real-time on a national scale. . This resulted in staff spending more time on more complex tasks while also reducing human errors and security risks.

Digital Transformation 83

Digital Transformation Data Governance Data-driven Machine Learning 83

AWS Big Data

AUGUST 15, 2024

This is particularly crucial in the context of business data catalogs using Amazon DataZone , where users rely on the trustworthiness of the data for informed decision-making. As the data gets updated and refreshed, there is a risk of quality degradation due to upstream processes.

Data Quality 111

Data Quality Visualization Metadata Key Performance Indicator 111

erwin

OCTOBER 24, 2019

It is the only solution that can automatically harvest, transform and feed metadata from operational processes, business applications and data models into a central data catalog and then made accessible and understandable within the context of role-based views. Standardize data management processes through a metadata-driven approach.

Metadata 104

Metadata Management Data-driven Data Architecture 104

CIO Business Intelligence

NOVEMBER 16, 2023

That’s where another level of risk mitigation comes in. It’s all about employee training,” he says, “and making sure they understand what they need to do, and they’re well trained on data security.” We’re concerned where the data from the prompting might end up,” she says. “We We don’t want to take those risks.”

Modeling 139

Modeling Enterprise Sales Marketing 139

Octopai

MARCH 22, 2023

This can be more cost-effective than traditional data warehousing solutions that require a significant upfront investment. Support for multiple data structures. Unlike traditional data warehouse platforms, snowflake supports both structured and semi-structured data.

Data Warehouse 103

Data Warehouse Cost-Benefit Unstructured Data Optimization 103

Cloudera

OCTOBER 3, 2018

In the data center and in the cloud, there’s a proliferation of players, often building on technology we’ve created or contributed to, battling for share. The tremendous growth in both unstructured and structured data overwhelms traditional data warehouses. We have each innovated separately in those areas.

Uncertainty 75

Uncertainty IoT Risk Reporting 75

Smarten

MAY 17, 2023

Whether you are looking at ChatGPT or Open AI and wondering how it might be applied to your business environment, it is important to understand the current state of this technology, the inherent risks and the possible opportunities. Creating Summary Data for Unstructured Documents (PDFs, HTML, Websites, etc.)

Digital Transformation 52

Digital Transformation Experimentation Risk Testing 52

Laminar Security

APRIL 18, 2023

What’s needed is a technology solution that can see into and across the various, disparate clouds, giving the user one, unified view into all cloud data risk. “Data stakeholders need to understand data exposure and mitigate risk no matter how diversified the data environment is.

Data Warehouse 52

Data Warehouse Risk Cost-Benefit Structured Data 52

Juice Analytics

MAY 1, 2021

It is a skill that combines elements of artistic expression and structured methods. Then we will discuss how to structure data stories to guide your audience through data. Part 1: Lessons in Data Storytelling from Pixar Pixar is the gold standard in storytelling.

Slice and Dice 133

Slice and Dice Recreation/Entertainment Structured Data Dashboards 133

Sisense

JUNE 30, 2020

The data drawn from power visualizations comes from a variety of sources: Structured data , in the form of relational databases such as Excel, or unstructured data, deriving from text, video, audio, photos, the internet and smart devices. Using visualizations to make smarter decisions.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

IBM Big Data Hub

APRIL 9, 2024

Preparing and annotating data IBM watsonx.data helps organizations put their data to work, curating and preparing data for use in AI models and applications. “Being able to organize the data around that structure helps us to efficiently query, retrieve and use the information downstream, for example for AI narration.”

Management 78

Management IT Machine Learning Metrics 78

CIO Business Intelligence

MARCH 6, 2023

We use Snowflake very heavily as our primary data querying engine to cross all of our distributed boundaries because we pull in from structured and non-structured data stores and flat objects that have no structure,” Frazer says. “We think we found a good balance there.

Data Lake 88

Data Lake Cost-Benefit Recreation/Entertainment Unstructured Data 88