TDAN

FEBRUARY 21, 2024

Hands down one of the most frequent observations when walking the data factory at different clients is the excessive use of spreadsheets for data collection and purification. These spreadsheets are part of a critical data enrichment process for getting reports out the door on time.

Data Collection 98

Data Collection Reporting Data Governance Management 98

TDAN

MARCH 3, 2020

Tucked away in portals across the internet, in different formats, with bad headers, strange encoding, and more – the world of data can be treacherous, and despite ‘data scientist’ being dubbed the sexiest job of the century, every data professional knows that it’s not all glitz and glam.

Data Quality 80

Data Quality IT Data Strategy Business Intelligence 80

Analytics Vidhya

MAY 20, 2022

This session will be conducted by Martin Henze who is a Data Scientist at YiptiData and is a Kaggle Grandmaster. He will conduct an enriching session on how to create effective Data Science Notebooks and Communication. Dear Readers, We bring you yet another exciting DataHour session for you. Sounds exciting? Register now!

Data Science 281

Data Science Analytics 281

David Menninger's Analyst Perspectives

SEPTEMBER 22, 2022

Organizations are collecting data from multiple data sources and a variety of systems to enrich their analytics and business intelligence (BI). But collecting data is only half of the equation. As the data grows, it becomes challenging to find the right data at the right time.

Data Lake 266

Data Lake Business Intelligence Analytics IT 266

AWS Big Data

MARCH 13, 2024

By combining historical vehicle location data with information from other sources, the company can devise empirical approaches for better decision-making. Additionally, you can use AWS Lambda to enrich incoming location data with data from other sources, such as an Amazon DynamoDB table containing vehicle maintenance details.

Analytics 91

Analytics IoT Metadata Internet of Things 91

AWS Big Data

JANUARY 8, 2024

We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases.

Analytics 109

Analytics IoT Data-driven Snapshot 109

DataRobot Blog

JULY 5, 2022

Location data is a key dimension whose volume and availability has grown exponentially in the last decade. Cleaned and enriched geospatial data combined with geostatistical feature engineering provides substantial positive impact on a housing price prediction model’s accuracy. Geospatial Data Enrichment Example.

Recreation/Entertainment 103

Recreation/Entertainment Machine Learning Predictive Modeling Sales 103

AWS Big Data

APRIL 17, 2024

The AaaS model accelerates data-driven decision-making through advanced analytics, enabling organizations to swiftly adapt to changing market trends and make informed strategic choices. times better price-performance than other cloud data warehouses. Amazon Redshift delivers up to 4.9 times lower cost per user and up to 7.9

Data Warehouse 91

Data Warehouse Analytics Cost-Benefit Modeling 91

AWS Big Data

APRIL 26, 2023

Additionally, this forecasting system needs to provide data enrichment steps including byproducts, serve as the master data around the semiconductor management, and enable further use cases at the BMW Group. To enable this use case, we used the BMW Group’s cloud-native data platform called the Cloud Data Hub.

Manufacturing 118

Manufacturing Forecasting Data Lake Big Data 118

CIO Business Intelligence

APRIL 25, 2024

At Salesforce World Tour NYC today, Salesforce unveiled a new global ecosystem of technology and solution providers geared to help its customers leverage third-party data via secure, bidirectional zero-copy integrations with Salesforce Data Cloud. It works in Salesforce just like any other native Salesforce data,” Carlson said.

Data Integration 98

Data Integration Data Lake Metadata Data Warehouse 98

Jet Global

DECEMBER 1, 2023

If enriched product data is the lifeblood of modern distribution eCommerce, it is also the oxygen for a solid SEO strategy. But even with buying groups and associations making it easier than ever to purchase bulk product data, gaining a competitive edge when it comes to product information continues to be a challenge.

B2B 52

B2B Cost-Benefit Manufacturing Sales 52

CIO Business Intelligence

DECEMBER 4, 2023

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management. Operationalizing data to drive revenue CIOs report that their roles are rising in importance and impact.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

TDAN

AUGUST 3, 2021

Increasingly, external data (alternative data, public data, open data – call it what you want) is being called the “secret sauce” of driving advanced analytics, developing machine learning and AI capabilities, enriching existing models, and delivering unrealized insights to every part of your organization.

Machine Learning 145

Machine Learning Modeling Analytics IT 145

AWS Big Data

MARCH 20, 2023

We discuss how to create such a solution using Amazon Kinesis Data Streams , Amazon Managed Streaming for Kafka (Amazon MSK), Amazon Kinesis Data Analytics for Apache Flink ; the design decisions that went into the architecture; and the observed business benefits by Poshmark.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

Ontotext

MARCH 13, 2024

We started with our marketing content and quickly expanded that to also integrate a set of workflows for data and content management. Through Ontotext Metadata Studio (OMDS), we then apply semantic content enrichment using text analysis based on our marketing vocabularies. Where does AI fit into this?

Marketing 72

Marketing Knowledge Discovery Metadata Data-driven 72

AWS Big Data

NOVEMBER 10, 2023

Apache Spark is a widely-used open source distributed processing system renowned for handling large-scale data workloads. Amazon Redshift offers seamless integration with Apache Spark, allowing you to easily access your Redshift data on both Amazon Redshift provisioned clusters and Amazon Redshift Serverless.

Data Processing 89

Data Processing Data Lake Data Warehouse Optimization 89

AWS Big Data

MARCH 25, 2024

FMs are multimodal; they work with different data types such as text, video, audio, and images. Large language models (LLMs) are a type of FM and are pre-trained on vast amounts of text data and typically have application uses such as text generation, intelligent chatbots, or summarization.

Data Lake 86

Data Lake Unstructured Data Management Modeling 86

Ontotext

MAY 2, 2024

Data leaders today are faced with an almost impossible challenge. They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

CIO Business Intelligence

FEBRUARY 28, 2024

The promise of bio digital twin technology The groundbreaking work underway in the development of bio digital twin technology holds immense promise in both saving and enriching lives. Data-driven insights for better healthcare Central to NTT’s approach is the integration of vast amounts of data.

Informatics 107

Informatics Data-driven Digital Transformation Predictive Analytics 107

Ontotext

NOVEMBER 28, 2023

Notably, while all consortium members must comply with GDPR (General Data Protection Regulation), some articles and limitations apply to academic and industry partners, while others apply to PAs. They described the consortium’s approach to data protection, privacy, and Artificial Intelligence.

Modeling 59

Modeling Reporting IT 59

TDAN

OCTOBER 5, 2021

I very much enjoyed reading The Enrichment Game by Doug Needham. Doug has spoken many times at our Data Modeling Zone conferences over the years, and when I read the book, I can hear him talk in his distinct descriptive and conversational style. The Enrichment Game describes how to improve data quality and data useability […].

Data Quality 52

Data Quality Modeling Data Strategy Strategy 52

Timo Elliott

APRIL 23, 2024

Generative AI can enrich supplier and buyer communications and insights, automate routine processes, and increase market knowledge. It can help spot potential incentive problems, summarize common errors, enrich supplier responses, capture market data, and generate catalog-item descriptions for suppliers.

Scorecard 59

Scorecard Cost-Benefit Machine Learning Optimization 59

CIO Business Intelligence

DECEMBER 13, 2023

When I think about unstructured data, I see my colleague Rob Gerbrandt (an information governance genius) walking into a customer’s conference room where tubes of core samples line three walls. While most of us would see dirt and rock, Rob sees unstructured data. have encouraged the creation of unstructured data.

Unstructured Data 97

Unstructured Data IoT Metadata Modeling 97

Smart Data Collective

JANUARY 5, 2021

We recently talked about the benefits of using big data in marketing. We even discussed some tools that leverage big data to get more value out of marketing strategies. These are all great reasons to use big data in marketing. But for accurate modeling, you need lots of reliable data. What is Social Media Data?

B2B 126

B2B Sales Marketing Big Data 126

AWS Big Data

APRIL 18, 2024

The Salesforce Trust Intelligence Platform (TIP) log platform team is responsible for data pipeline and data lake infrastructure, providing log ingestion, normalization, persistence, search, and detection capability to ensure Salesforce is safe from threat actors. This is the bronze layer of the TIP data lake.

Optimization 83

Optimization Data Lake Management Key Performance Indicator 83

Cloudera

NOVEMBER 18, 2022

Stream processing is about creating business value by applying logic to your data while it is in motion. Many times that involves combining data sources to enrich a data stream. Flink SQL does this and directs the results of whatever functions you apply to the data into a sink. A sink for writing Flink results.

Data Processing 56

Data Processing Advertising IT 56

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. 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.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

AWS Big Data

FEBRUARY 12, 2024

Objective Gupshup wanted to build a messaging analytics platform that provided: Build a platform to get detailed insights, data, and reports about WhatsApp/SMS campaigns and track the success of every text message sent by the end customers. Additionally, extract, load, and transform (ELT) data processing is sped up and made easier.

Data Warehouse 96

Data Warehouse Analytics Snapshot Cost-Benefit 96

DataKitchen

JULY 3, 2023

Data Journey First DataOps Putting Problems in Your Data Estate at the Forefront Welcome to the high-octane world of DataOps, a powerhouse that turbocharges data analytics development and management. But as we navigate ever-evolving seas of data, it’s high time we reset our course.

Testing 130

Testing Risk Data-driven Statistics 130

CIO Business Intelligence

OCTOBER 20, 2023

With the power of real-time data and artificial intelligence (AI), new online tools accelerate, simplify, and enrich insights for better decision-making. For banks, data-driven decisions based on rich customer insight can drive personalized and engaging experiences and provide opportunities to find efficiencies and reduce costs.

Data-driven 127

Data-driven Cost-Benefit Finance Machine Learning 127

erwin

AUGUST 6, 2020

How Data Literacy Turns Data from a Burden to a Benefit. Today, data literacy is more important than ever. Data is now being used to support business decisions few executives thought they’d be making even six months ago. So, what is data literacy? What Is Data Literacy? Data Literacy Definition.

Contextual Data 135

Contextual Data Data Governance Digital Transformation Metadata 135

Cloudera

JUNE 7, 2021

Since then, we have been working hard to expose the full power of Apache Flink SQL and the existing Data Warehousing tools in CDP to combine it into a state-of-the-art real-time analytics platform. Stream enrichment from Hive & Kudu. This step significantly speeds up query development and data exploration.

Analytics 100

Analytics Management IT 100

Jet Global

FEBRUARY 23, 2024

A Centralized Hub for Data Data silos are the number one inhibitor to commerce success regardless of your business model. Through effective workflow, data quality, and governance tools, a PIM ensures that disparate content is transformed into a company-wide strategic asset. Here we explore these benefits in more detail.

Management 52

Management Sales Publishing Data Quality 52

TDAN

JUNE 15, 2021

From tip to tail, we’re changing the way users on our platform access, enrich, manage, and monitor the data flowing through their environment. My company has been talking a lot about our products because there has been some incredible progress on what we’re delivering to the organizations we work with. But what’s the underlying stuff?

Management 98

Management Metadata Data Governance Big Data 98