CIO Business Intelligence

APRIL 25, 2024

“The challenge that a lot of our customers have is that requires you to copy that data, store it in Salesforce; you have to create a place to store it; you have to create an object or field in which to store it; and then you have to maintain that pipeline of data synchronization and make sure that data is updated,” Carlson said.

Data Integration 119

Data Integration Data Lake Data Warehouse Metadata 119

CIO Business Intelligence

MARCH 6, 2024

The company is expanding its partnership with Collibra to integrate Collibra’s AI Governance platform with SAP data assets to facilitate data governance for non-SAP data assets in customer environments. “We We are also seeing customers bringing in other data assets from other apps or data sources.

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

AWS Big Data

SEPTEMBER 12, 2024

ZS unlocked new value from unstructured data for evidence generation leads by applying large language models (LLMs) and generative artificial intelligence (AI) to power advanced semantic search on evidence protocols. These embeddings, along with metadata such as the document ID and page number, are stored in OpenSearch Service.

Unstructured Data 111

Unstructured Data Metadata Machine Learning Consulting 111

CIO Business Intelligence

SEPTEMBER 11, 2024

They can tell if your customer lifetime value model is about to treat a whale like a minnow because of a data discrepancy. They can at least clarify how and what data supported AI to reach its conclusions. Data stewards should understand the nuances of various AI models and ensure the data meets the unique quality thresholds for each.

Data Quality 118

Data Quality Unstructured Data Metadata Data Governance 118

FineReport

FEBRUARY 5, 2020

Nowadays, the business intelligence market is heating up. Both the investment community and the IT circle are paying close attention to big data and business intelligence. Metadata management. The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis.

Metadata 98

Metadata Dashboards Informatics Visualization 98

CIO Business Intelligence

SEPTEMBER 17, 2024

The CRM software provider terms the Data Cloud as a customer data platform, which is essentially its cloud-based software to help enterprises combine data from multiple sources and provide actionable intelligence across functions, such as sales, service, and marketing.

Unstructured Data 93

Unstructured Data Enterprise Software Metadata 93

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. Perform impact analysis.

Measurement 81

Measurement Modeling Unstructured Data Metadata 81

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

CIO Business Intelligence

FEBRUARY 6, 2024

Back in the day, when its assumptions, methodologies, and overall culture were formed, IT suffered from a serious case of ratio inversion, focusing something like 80% of its budget and efforts on the 20%, leaving 20% of its attention to help with the unstructured 80%. Documents, in this metaphor, are molecules.

Unstructured Data 98

Unstructured Data Advertising Metadata Software 98

AWS Big Data

SEPTEMBER 26, 2024

Organizations are collecting and storing vast amounts of structured and unstructured data like reports, whitepapers, and research documents. By consolidating this information, analysts can discover and integrate data from across the organization, creating valuable data products based on a unified dataset.

Data Lake 115

Data Lake Cost-Benefit Unstructured Data Modeling 115

AWS Big Data

JUNE 9, 2023

This data is then projected into analytics services such as data warehouses, search systems, stream processors, query editors, notebooks, and machine learning (ML) models through direct access, real-time, and batch workflows. Frequent table maintenance needs to be performed to prevent read performance from degrading over time.

Data Lake 130

Data Lake Metadata Statistics Optimization 130

Ontotext

DECEMBER 1, 2023

Atanas Kiryakov presenting at KGF 2023 about Where Shall and Enterprise Start their Knowledge Graph Journey Only data integration through semantic metadata can drive business efficiency as “it’s the glue that turns knowledge graphs into hubs of metadata and content”.

Metadata 78

Metadata Sales Machine Learning Consulting 78

Domino Data Lab

JANUARY 21, 2021

If you don’t believe me, just take a look at the market of tools out there for just this: from classics like matplotlib to ggplot2, to more modern solutions such as bokeh, seaborn, and Lux , the options are many. Data visualization blog posts are a dime a dozen. Working With Unstructured Data & Future Development Opportunities.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

IBM Big Data Hub

JANUARY 17, 2023

These new technologies and approaches, along with the desire to reduce data duplication and complex ETL pipelines, have resulted in a new architectural data platform approach known as the data lakehouse – offering the flexibility of a data lake with the performance and structure of a data warehouse.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

Sisense

AUGUST 21, 2020

Sisense recently used our ecosystem of ML service providers to help scan and surface the medical crowd wisdom of COVID treatments from piles of textual data from a site called G-Med. There was no point in reinventing the wheel to build our own video, image, speech, and text analysis tools — there are plenty of those on the market already.

Analytics 112

Analytics Machine Learning Dashboards Visualization 112

Ontotext

JANUARY 29, 2024

The generative AI buzz and interest in cloud migration shouldn’t be ignored, but as with any technology that requires data strategy, it’s critical that data and analytics professionals be crystal clear about their priorities and confident in the projects that will positively impact their business and goals.

Strategy 52

Strategy Management Metadata Data-driven 52

CIO Business Intelligence

MARCH 6, 2023

Advancements in analytics and AI as well as support for unstructured data in centralized data lakes are key benefits of doing business in the cloud, and Shutterstock is capitalizing on its cloud foundation, creating new revenue streams and business models using the cloud and data lakes as key components of its innovation platform.

Data Lake 88

Data Lake Cost-Benefit Recreation/Entertainment Unstructured Data 88

Ontotext

MAY 22, 2023

Many enterprise data and knowledge management tasks require strict agreement, with a firm deterministic contract, about the meaning of the data. The rich semantics built into our knowledge graph allow you to gain new insights, detect patterns and identify relationships that other data management techniques can’t deliver.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

AWS Big Data

JANUARY 8, 2024

In the subsequent post in our series, we will explore the architectural patterns in building streaming pipelines for real-time BI dashboards, contact center agent, ledger data, personalized real-time recommendation, log analytics, IoT data, Change Data Capture, and real-time marketing data.

Analytics 134

Analytics IoT Data-driven Snapshot 134

AWS Big Data

JULY 3, 2023

Major market indexes, such as S&P 500, are subject to periodic inclusions and exclusions for reasons beyond the scope of this post (for an example, refer to CoStar Group, Invitation Homes Set to Join S&P 500; Others to Join S&P 100, S&P MidCap 400, and S&P SmallCap 600 ).

Snapshot 105

Snapshot Data Lake Testing Strategy 105

Ontotext

MARCH 18, 2020

According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data. Why Enterprise Knowledge Graphs?

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Alation

DECEMBER 15, 2021

A data governance strategy helps prevent your organization from having “bad data” — and the poor decisions that may result! Here’s why organizations need a governance strategy: Makes data available: So people can easily find and use both structured and unstructured data. Choose a Metadata Storage Option.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 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. Beyond “records,” organizations can digitally capture anything and apply metadata for context and searchability.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

AWS Big Data

FEBRUARY 21, 2023

Unlike a pure dimensional design, a data vault separates raw and business-generated data and accepts changes from both sources. Data vaults make it easy to maintain data lineage because it includes metadata identifying the source systems.

Data Warehouse 95

Data Warehouse Data Lake Cost-Benefit Metadata 95

Wayne Yaddow

MARCH 14, 2025

Data freshness propagation: No automatic tracking of data propagation delays across multiplemodels. Workaround: Implement custom metadata tracking scripts or use dbt Clouds freshness monitoring. Workaround: Maintain a backup table of previous transformation results and manually roll back using SQL commands.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

Cloudera

SEPTEMBER 15, 2022

Modern data platforms deliver an elastic, flexible, and cost-effective environment for analytic applications by leveraging a hybrid, multi-cloud architecture to support data fabric, data mesh, data lakehouse and, most recently, data observability.

Data Lake 83

Data Lake Data Architecture Data-driven Data Warehouse 83

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? What types of data are collected?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Ontotext

SEPTEMBER 2, 2020

Instead, it creates a unified way, sometimes called a data fabric, of accessing an organization’s data as well as 3rd party or global data in a seamless manner. Data is represented in a holistic, human-friendly and meaningful way. With knowledge graphs, automated reasoning becomes even more of a possibility.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

Cloudera

AUGUST 21, 2020

Perhaps one of the most significant contributions in data technology advancement has been the advent of “Big Data” platforms. Historically these highly specialized platforms were deployed on-prem in private data centers to ensure greater control , security, and compliance. OpEx savings and probable ROI once migrated.

Big Data 76

Big Data Cost-Benefit ROI Risk 76

Ontotext

FEBRUARY 26, 2024

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. Ontotext’s Relation and Event Detector (RED) is designed to assess and analyze the impact of market-moving events. and “What is the financial impact?”.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

IBM Big Data Hub

AUGUST 4, 2023

By leveraging data services and APIs, a data fabric can also pull together data from legacy systems, data lakes, data warehouses and SQL databases, providing a holistic view into business performance. It uses knowledge graphs, semantics and AI/ML technology to discover patterns in various types of metadata.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Cloudera

AUGUST 30, 2018

Digital technologies are changing business models, reshaping how companies go-to-market, win new customers and drive new revenue-producing opportunities. Machine learning driven business – A focus on the design of systems that can learn from and make decisions and predictions based on data.

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

Rita Sallam

JULY 22, 2016

Or when Tableau and Qlik’s serious entry into the market circa 2004-2005 set in motion a seismic market shift from IT to the business user creating the wave of what was to become the modern BI disruption. Gartner revamped the BI and Analytics Magic Quadrant in 2016 to reflect the mainstreaming of this market disruption.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

AWS Big Data

FEBRUARY 22, 2023

An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data. The AWS Glue job can transform the raw data in Amazon S3 to Parquet format, which is optimized for analytic queries. All the metadata of the tables is stored in the AWS Glue Data Catalog, including the Hudi tables.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

Laminar Security

MAY 3, 2023

They define DSPM technologies this way: “DSPM technologies can discover unknown data and categorize structured and unstructured data across cloud service platforms. In it they provide recommendations for getting started with DSPM and important considerations for DSPM solutions.

Management 40

Management Risk Risk Management Data Processing 40

IBM Big Data Hub

FEBRUARY 14, 2024

Not only will this help scale the AOT tech across markets, but it will also help tackle integrations including additional languages, dialects and menu variations. These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions. ML can also conduct algorithmic trading without human intervention.

Cost-Benefit 82

Cost-Benefit Insurance Machine Learning Unstructured Data 82

Cloudera

SEPTEMBER 17, 2020

They were not able to quickly and easily query and analyze huge amounts of data as required. They also needed to combine text or other unstructured data with structured data and visualize the results in the same dashboards. Events or time-series data served by our real-time events or time-series data store solutions.

Data Warehouse 81

Data Warehouse Experimentation Visualization Dashboards 81