Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain.

Analytics 109

Analytics Digital Transformation Forecasting Risk 109

Alation

FEBRUARY 20, 2020

But with the advent of data science and predictive analytics, many organizations have come to the realization that enterprise data must be fused with external data to enable and scale a digital business transformation. THE NEED FOR METADATA TOOLS. And the criticality of metadata management and data catalogs cannot be undermined.

Metadata 52

Metadata IT Data Governance Data Warehouse 52

Cloudera

FEBRUARY 8, 2021

Predictive Analytics – predictive analytics based upon AI and machine learning (predictive maintenance, demand-based inventory optimization as examples). Reporting – delivering business insight (sales analysis and forecasting, budgeting as examples).

Manufacturing 116

Manufacturing Data Warehouse Sales Predictive Analytics 116

AWS Big Data

MARCH 26, 2024

Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history. Amazon Redshift offers real-time insights and predictive analytics capabilities for analyzing data from terabytes to petabytes.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

AWS Big Data

DECEMBER 18, 2023

Easily build and train machine learning models using SQL within Amazon Redshift to generate predictive analytics and propel data-driven decision-making. Learn about Amazon Redshift’s newest functionality to increase reliability and speed to insights through near-real-time data access, ML, and more—all with impressive price-performance.

Data Warehouse 100

Data Warehouse Machine Learning Data-driven Data Lake 100

BI-Survey

FEBRUARY 7, 2022

Powered by these technological innovations, the increasing scope of analytics requirements is successfully covered by tailored solutions. . Advanced and predictive analytics , machine learning and AutoML are all prime examples of this increasing scope. And transparency is a must to democratize access to data in a company.

Analytics 52

Analytics Metadata Cost-Benefit Software 52

AWS Big Data

APRIL 28, 2023

Tens of thousands of customers use Amazon Redshift to process exabytes of data per day and power analytics workloads such as BI, predictive analytics, and real-time streaming analytics. Amazon Redshift Serverless makes it convenient for you to run and scale analytics without having to provision and manage data warehouses.

Interactive 94

Interactive Metadata Data Warehouse Data-driven 94

Ontotext

NOVEMBER 22, 2020

Content Enrichment and Metadata Management. The value of metadata for content providers is well-established. When that metadata is connected within a knowledge graph, a powerful mechanism for content enrichment is unlocked. Continuous Data Operations and Data Management for Analytics and Master Data Management.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

Alation

MAY 4, 2023

Data Catalog Definition A data catalog is a collection of organized metadata that governs the workflow and processes for data scientists. The chosen predictive analytics tools should be able to handle large datasets easily, provide a range of features such as interactive visualizations, and be compatible with existing systems.

Visualization 52

Visualization Metadata Data Governance KPI 52

datapine

JANUARY 31, 2022

As a result of the relocation, the analytics team analyzed metadata attached to employee calendars and found a 46% decrease in meeting travel time which translated into estimated savings of $520,000 per year in employee time. 5) Find improvement opportunities through predictions. A great use case of this benefit is Uber.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Alation

MAY 4, 2023

Data Catalog Definition A data catalog is a collection of organized metadata that governs the workflow and processes for data scientists. The chosen predictive analytics tools should be able to handle large datasets easily, provide a range of features such as interactive visualizations, and be compatible with existing systems.

Visualization 40

Visualization Metadata Data Governance KPI 40

Cloudera

JANUARY 5, 2023

What will determine the winners from the laggards will hinge on the speed at which predictive analytics can be executed, and the cost-benefit ratio related to these algorithmic paradigms. These features provide businesses with a common metadata, security, and governance model across all their data.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

Alation

MARCH 21, 2023

Seasonality and trend predictions Many online travel companies use dynamic and flexible pricing strategies to respond to changes in demand and supply. Using predictive analytics, travel companies can forecast customer demand around things like holidays or weather to set optimum prices that maximize revenue.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

IBM Big Data Hub

JULY 17, 2023

Watsonx.data is built on 3 core integrated components: multiple query engines, a catalog that keeps track of metadata, and storage and relational data sources which the query engines directly access. Later this year, it will leverage watsonx.ai foundation models to help users discover, augment, and enrich data with natural language.

Machine Learning 63

Machine Learning Data Warehouse Modeling Cost-Benefit 63

Cloudera

MAY 22, 2019

Cloudera’s data superheroes design modern data architectures that work across hybrid and multi-cloud and solve complex data management and analytic use cases spanning from the Edge to AI. DATA SECURITY AND GOVERNANCE. DATA CHAMPIONS.

Machine Learning 56

Machine Learning Data Architecture IoT Metadata 56

Ontotext

FEBRUARY 26, 2024

Strategic planning and predictive analytics : Companies can use this analysis for strategic planning. Quality assurance process, covering gold standard creation , extraction quality monitoring, measurement, and reporting via Ontotext Metadata Studio.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

O'Reilly on Data

MARCH 18, 2020

Ideally, data provenance , data lineage , consistent data definitions , rich metadata management , and other essentials of good data governance would be baked into, not grafted on top of, an AI project. However, organizations need to address important data governance and data conditioning to expand and scale their AI practices. [1]

Enterprise 307

Enterprise Deep Learning Data Governance Risk 307

BI-Survey

FEBRUARY 6, 2020

Recent years have seen extensive interest in topics around explorative BI such as advanced and predictive analytics. ML allows non-statisticians to leverage advanced and predictive analytics to detect hidden patterns and correlations in data, increasing the depth of analyses conducted. .

Reporting 59

Reporting Optimization Enterprise Data Quality 59

Ontotext

SEPTEMBER 2, 2020

Knowledge graphs help to provide high-quality data based on enriched and linked metadata , involving different people and roles. 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.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

IBM Big Data Hub

FEBRUARY 14, 2024

Deliver new insights Expert systems can be trained on a corpus—metadata used to train a machine learning model—to emulate the human decision-making process and apply this expertise to solve complex problems. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

Smart Data Collective

DECEMBER 19, 2019

Inadequate data and metadata protection. Identifying malicious activities and threats much before using advanced predictive analytics. Lack of visibility in AI-made decisions. Lack of sufficient training solutions. Lack of understanding the algorithm limitations. Excessive dependence on a single AI algorithm.

Machine Learning 61

Machine Learning Reporting Testing Marketing 61

Cloudera

JANUARY 22, 2019

Data catalogs provide (1) a unified view of data and metadata to facilitate search and discovery of data assets, (2) the ability to track and manage data use and sharing, and 3) consistent data context across the analytics life cycle. Flexible/Location-agnostic Infrastructure. Enterprises are seeking location transparency.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

Rita Sallam

JULY 22, 2016

By contrast, traditional BI platforms are designed to support modular development of IT-produced analytic content, specialized tools and skills, and significant upfront data modeling, coupled with a predefined metadata layer, is required to access their analytic capabilities.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Domino Data Lab

JUNE 2, 2019

Working through distinctions of descriptive analytics , predictive analytics , and prescriptive analytics , Chris recounted several stories about how managers had requested one kind of deliverable from the data science while needing something entirely different.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Domino Data Lab

JULY 22, 2019

You know, case in point, if you were to talk about predictive analytics 20 years ago, the main people in the field would have laughed you out of the room. Predictive analytics, yeah, not so much.” They would’ve said, “You know what? I’m involved with that as well, consulting for NYU.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Jet Global

MAY 1, 2023

Metadata Self-service analysis is made easy with user-friendly naming conventions for tables and columns. Leading research and consultancy company, Gartner describes the path that businesses take as they move to higher levels: Descriptive Analytics: Describe what happened (e.g., Diagnostic Analytics: No longer just describing.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Andrew White

JANUARY 11, 2021

On end user clients calls, are you hearing a greater focus on use cases and greater need for prescriptive analytics, ex marketing analytics, sales analytics, healthcare, etc. Yes, prescriptive and predictive analytics remain very popular with clients. where performance and data quality is imperative?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52