AWS Big Data

DECEMBER 10, 2024

Users should be members of specific Azure AD groups based on their access needs: User A Member of the "redshift_sales" group for access to sales datasets in Amazon Redshift, and the "AWS- _dev-bdt-team" group for access to AWS services in the development environment. is the AWS account where you have your Redshift cluster.

Sales 105

Sales Metadata Enterprise Testing 105

AWS Big Data

NOVEMBER 19, 2024

Solution overview By combining the powerful vector search capabilities of OpenSearch Service with the access control features provided by Amazon Cognito , this solution enables organizations to manage access controls based on custom user attributes and document metadata. If you don’t already have an AWS account, you can create one.

Management 98

Management Metadata Manufacturing Testing 98

Rocket-Powered Data Science

SEPTEMBER 20, 2021

They realized that the search results would probably not provide an answer to my question, but the results would simply list websites that included my words on the page or in the metadata tags: “Texas”, “Cows”, “How”, etc. What a nightmare that would be! But what a dream the semantic layer becomes!

Data Science 286

Data Science Forecasting Business Intelligence Sales 286

erwin

JUNE 26, 2020

Data catalogs combine physical system catalogs, critical data elements, and key performance measures with clearly defined product and sales goals in certain circumstances. Three Types of Metadata in a Data Catalog. The metadata provides information about the asset that makes it easier to locate, understand and evaluate.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Sisense

JANUARY 6, 2020

Nowadays, sales is both science and art. Best practice blends the application of advanced data models with the experience, intuition and knowledge of sales management, to deeply understand the sales pipeline. Why sales and analysts should work together. Why sales and analysts should work together.

Sales 91

Sales Forecasting Snapshot Management 91

erwin

DECEMBER 9, 2024

Maybe your AI model monitors sales data, and the data is spiking for one region of the country due to a world event. Metadata is the basis of trust for data forensics as we answer the questions of fact or fiction when it comes to the data we see. Lets give a for instance.

Metadata 52

Metadata Data Quality Sales Modeling 52

Octopai

APRIL 8, 2019

Most businesses have one profit center—sales—and many cost centers. Metadata is at the heart of every report, dashboard, data warehouse, visualization, and anything else the BI team produces. This means that much of what the BI team does involves searching for and cataloging metadata. Money Loser #1: Manual Data Discovery.

Metadata 65

Metadata Dashboards Data Warehouse Visualization 65

AWS Big Data

JULY 29, 2024

Prerequisites For the workflow described in this post, we assume a single AWS account, a single AWS Region, and a single AWS Identity and Access Management (IAM) user, who will act as Amazon DataZone administrator, Sales team (producer), and Marketing team (consumer). Set up environment profiles for the Sales and Marketing teams.

Data Warehouse 109

Data Warehouse Sales Metadata Publishing 109

O'Reilly on Data

DECEMBER 12, 2023

Highly recommended, BTW, and I hope this mention generates a few sales for her.) Any of these prompts might generate book sales—but whether or not sales result, they will have expanded my knowledge. I can also ask for a reading list about plagues in 16th century England, algorithms for testing prime numbers, or anything else.

Modeling 335

Modeling Sales Software Statistics 335

AWS Big Data

MARCH 5, 2025

The script creates a table with sample marketing and sales data. Use the provided CTAS script, which creates a table with sample sales data in the datazone_env_redshift_publish_environment schema. For Run Preference , select Run on demand to ingest metadata from the specified AWS Glue tables into Amazon DataZone.

Analytics 60

Analytics Publishing Metadata Sales 60

AWS Big Data

AUGUST 13, 2024

As an Amazon DataZone administrator, you can now create domain units (such as Sales or Marketing) under the top-level domain and assign domain unit owners to further manage the data team’s structure. Sales – Sales process, key performance indicators (KPIs), and metrics.

Data Governance 119

Data Governance Metadata Enterprise Sales 119

AWS Big Data

JULY 25, 2024

To support this need, ATPCO wants to derive insights around product performance by using three different data sources: Airline Ticketing data – 1 billion airline ticket sales data processed through ATPCO ATPCO pricing data – 87% of worldwide airline offers are powered through ATPCO pricing data. Select Create environment profile.

Data Lake 115

Data Lake Metadata Sales Publishing 115

Smart Data Collective

JANUARY 5, 2021

For B2B sales and marketing teams, few metaphors are as powerful as the sales funnel. Modeling your sales funnel so you can better target and nurture leads at each layer is critical to increasing your conversion rate. You need access to quality social data to build a better B2B sales funnel model.

B2B 144

B2B Sales Big Data Marketing 144

AWS Big Data

JULY 8, 2024

It also offers reference implementation of an object model to persist metadata along with integration to major data and analytics tools. Lineage form types – Form types, or facets , provide additional metadata or context about lineage entities or events, enabling richer and more descriptive lineage information. Choose Run.

Visualization 119

Visualization Metadata Publishing Sales 119

AWS Big Data

OCTOBER 4, 2023

An Amazon DataZone domain contains an associated business data catalog for search and discovery, a set of metadata definitions to decorate the data assets that are used for discovery purposes, and data projects with integrated analytics and ML tools for users and groups to consume and publish data assets.

Metadata 119

Metadata Data Lake Publishing Data Governance 119

DataKitchen

OCTOBER 11, 2021

I wanted to make sure that the total number of sales orders is monotonically increasing. Imagine receiving a call from your CEO because sales on the CEO dashboard were off by a million dollars. Monitoring Job Metadata. If that number ever decreases, something is wrong.

Testing 152

Testing Metadata Dashboards Statistics 152

CIO Business Intelligence

MARCH 4, 2025

The new marketplace will initially feature action, topics, and templates from 200 partners for sales, service, finance, HR, productivity, and operations across various industries, including manufacturing, retail, education, hospitality, and healthcare. What is AgentExchange?

Metadata 64

Metadata Manufacturing Finance Software 64

AWS Big Data

NOVEMBER 15, 2023

In this post, we demonstrate the following: Extracting non-transactional metadata from the top rows of a file and merging it with transactional data Combining multi-line rows into single-line rows Extracting unique identifiers from within strings or text Solution overview For this use case, imagine you’re a data analyst working at your organization.

Metadata 114

Metadata Sales Data Lake Big Data 114

CIO Business Intelligence

OCTOBER 24, 2024

“Let’s be real—Copilot’s a flop because Microsoft lacks the data, metadata, and enterprise security models to create real corporate intelligence.” Agentforce doesn’t just handle tasks—it autonomously drives sales, service, marketing, analytics, and commerce,” Benioff boasted. Microsoft rebranding Copilot as ‘agents’? That’s panic mode.

Metadata 111

Metadata Manufacturing Enterprise Sales 111

Cloudera

AUGUST 10, 2021

Atlas / Kafka integration provides metadata collection for Kafa producers/consumers so that consumers can manage, govern, and monitor Kafka metadata and metadata lineage in the Atlas UI. In the example below we have granted SELECT to members of a number of sales groups. Figure 1: sales group SELECT access.

Metadata 97

Metadata Sales Statistics Management 97

erwin

JULY 2, 2020

This matters because, as he said, “By placing the data and the metadata into a model, which is what the tool does, you gain the abilities for linkages between different objects in the model, linkages that you cannot get on paper or with Visio or PowerPoint.” We maintain business domain models in addition to the enterprise model.”.

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

datapine

JANUARY 31, 2022

That is precious insight for the sales team who can look into the data in real-time and understand what the leverages beneath it are. A simple example is: if there are many low-cost seats still available for an upcoming game, the sales team can send a customized email offer to local students. The results?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

datapine

SEPTEMBER 29, 2022

From customer relations to marketing, sales, and finances, being able to make informed decisions with your own data is just invaluable in today’s fast-paced world. It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Octopai

AUGUST 19, 2020

This is in stark contrast to the vast number of organizations that previously utilized on-premise discovery solutions and metadata management tools. More than any other BI metadata management tool out there, cloud automation offers the best way for teams to connect remotely and manage projects.

Metadata 98

Metadata Digital Transformation Management Business Intelligence 98

CIO Business Intelligence

DECEMBER 21, 2022

And do you want your sales team making decisions based on whatever data it gets, and having the autonomy to mix and match to see what works best? And key to this is the metadata management.” However, the company only had data on its sales history for about 12 months. “We Central, standardized control over tool rollout is key.

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

AWS Big Data

APRIL 8, 2024

Publish the table metadata to the Amazon DataZone business data catalog. Solution overview To demonstrate this new capability, we use a sample customer scenario where the finance team wants to access data owned by the sales team for financial analysis and reporting. The following diagram illustrates this workflow.

Finance 107

Finance Sales Publishing Metadata 107

datapine

MAY 29, 2019

While they are connected and cannot function without each other, as mentioned earlier, BI is mainly focused on generating business insights, whether operational or strategic efficiency such as product positioning and pricing to goals, profitability, sales performance, forecasting, strategic directions, and priorities on a broader level.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

Octopai

OCTOBER 12, 2020

Organizations are turning to the cloud and automated metadata management tools to successfully manage their business’s data. Hear real use cases of BI teams who are leveraging metadata management automation on the cloud while working remotely Check out our webinar "BI During COVID-19." One word for you: Cloud. Watch the Webinar.

Metadata 52

Metadata Management Reporting Sales 52

Cloudera

JULY 10, 2024

Observability for your most secure data For your most sensitive, protected data, we understand even the metadata and telemetry about your workloads must be kept under close watch, and it must stay within your secured environment. With these new observability features, you’ll maximize your investment and eliminate unnecessary spending.

Cost-Benefit 99

Cost-Benefit Metadata Optimization Measurement 99

AWS Big Data

MARCH 10, 2023

We provide an example for data ingestion and querying using an ecommerce sales data lake. Iceberg employs internal metadata management that keeps track of data and empowers a set of rich features at scale. The Data Catalog provides a central location to govern and keep track of the schema and metadata.

Data Lake 122

Data Lake Sales Data Warehouse Snapshot 122

AWS Big Data

OCTOBER 30, 2024

To achieve this, you need access to sales orders, shipment details, and customer data owned by the retail team. For this use case, create a data source and import the technical metadata of four data assets— customers , order_items , orders , products , reviews , and shipments —from AWS Glue Data Catalog.

Visualization 119

Visualization Data Lake Testing Data Governance 119

CIO Business Intelligence

JUNE 9, 2022

Some are general tools that can be used for any job where data may be gathered, including scientific labs, manufacturing plants, or government offices, as well as sales divisions. These may use personally identifiable information and create profiles to track potential customers through the sales funnel.

Management 144

Management Advertising Data Lake Sales 144

O'Reilly on Data

MARCH 31, 2020

You might have millions of short videos , with user ratings and limited metadata about the creators or content. Job postings have a much shorter relevant lifetime than movies, so content-based features and metadata about the company, skills, and education requirements will be more important in this case.

Management 363

Management Machine Learning Experimentation Metrics 363

erwin

AUGUST 28, 2020

Every new sale, every new inquiry, every website interaction, every swipe on social media generates data. With the broadest set of metadata connectors, erwin DI combines data management and DG processes to fuel an automated, real-time, high-quality data pipeline. What Is Good Data Governance?

Data Governance 145

Data Governance IT Cost-Benefit Metadata 145

FineReport

FEBRUARY 5, 2020

Metadata management. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis. Analytics dashboards.

Metadata 98

Metadata Dashboards Informatics Visualization 98

AWS Big Data

DECEMBER 16, 2024

With the ability to browse metadata, you can understand the structure and schema of the data source, identify relevant tables and fields, and discover useful data assets you may not be aware of. This approach simplifies your data journey and helps you meet your security requirements.

Visualization 90

Visualization Data Processing Testing Publishing 90

erwin

APRIL 29, 2020

For example, the marketing department uses demographics and customer behavior to forecast sales. An understanding of the data’s origins and history helps answer questions about the origin of data in a Key Performance Indicator (KPI) reports, including: How the report tables and columns are defined in the metadata?

Key Performance Indicator 111

Key Performance Indicator Data Governance Metadata Data Quality 111