AWS Big Data

JULY 19, 2023

Amazon Redshift is a fully managed and petabyte-scale cloud data warehouse that is used by tens of thousands of customers to process exabytes of data every day to power their analytics workload. You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model.

Modeling 69

Modeling Sales Data Warehouse Snapshot 69

Birst BI

OCTOBER 30, 2018

The credit scores generated by the predictive model are then used to approve or deny credit cards or loans to customers. Consider all customer interactions and their data sources as potential sources for predicting future customer behavior. Add the predictive logic to the data model. Accounts in use.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Ontotext

MARCH 8, 2023

With the size of data and dropping attention spans of online users, digital personalization has become one of the top priorities for companies’ business models. As such, most large financial organizations have moved their data to a data lake or a data warehouse to understand and manage financial risk in one place.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

DataKitchen

SEPTEMBER 21, 2023

Data in Place refers to the organized structuring and storage of data within a specific storage medium, be it a database, bucket store, files, or other storage platforms. In the contemporary data landscape, data teams commonly utilize data warehouses or lakes to arrange their data into L1, L2, and L3 layers.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

AWS Big Data

FEBRUARY 21, 2023

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. This is one of the biggest hurdles with the data vault approach. What is a dimensional data model?

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Metadata 65

Domino Data Lab

APRIL 3, 2019

The longer answer is that in the context of machine learning use cases, strong assumptions about data integrity lead to brittle solutions overall. Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. There are models everywhere.

Data Governance 84

Data Governance Machine Learning Metadata Data Science 84

datapine

NOVEMBER 11, 2021

Business intelligence tools provide you with interactive BI dashboards that serve as powerful communication tools to keep teams engaged and connected. Through powerful data visualizations, managers and team members can get a bigger picture of their performance to optimize their processes and ensure healthy project development.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

AWS Big Data

FEBRUARY 13, 2024

Monitoring data pipelines in real time is critical for catching issues early and minimizing disruptions. AWS Glue has made this more straightforward with the launch of AWS Glue job observability metrics , which provide valuable insights into your data integration pipelines built on AWS Glue. More users can cause more charges.

Metrics 102

Metrics Dashboards Visualization Key Performance Indicator 102

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Then, you transform this data into a concise format.

Data Strategy 72

Data Strategy Strategy Data Warehouse Prescriptive Analytics 72

Alation

JANUARY 17, 2023

The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. It is known to have benefits in handling data due to its robustness, speed, and scalability. Data ingestion/integration services. Reverse ETL tools.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Cloudera

NOVEMBER 2, 2020

Users today are asking ever more from their data warehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. What is Real Time Data Warehousing?

Data Warehouse 102

Data Warehouse Optimization Dashboards Interactive 102

CIO Business Intelligence

MAY 10, 2022

A customer data platform (CDP) is a prepackaged, unified customer database that pulls data from multiple sources to create customer profiles of structured data available to other marketing systems. They eliminate data silos, and, unlike a traditional data warehouse, CDPs don’t require technical expertise to set up or maintain.

Advertising 117

Advertising Interactive Marketing Structured Data 117

Jen Stirrup

MARCH 29, 2023

However, to turn data into a business problem, organizations need support to move away from technical issues to start getting value as quickly as possible. SAP Datasphere simplifies data integration, cataloging, semantic modeling, warehousing, federation, and virtualization through a unified interface.

Data Warehouse 121

Data Warehouse Metadata Data Integration Business Intelligence 121

FineReport

JULY 16, 2021

When we talk about business intelligence system, it normally includes the following components: data warehouse BI software Users with appropriate analytical. Data analysis and processing can be carried out while ensuring the correctness of data. Data Warehouse. Data Analysis. Features of BI systems.

Business Intelligence 98

Business Intelligence Informatics Data Warehouse Data mining 98

erwin

FEBRUARY 19, 2021

Connect physical metadata to specific data models, business terms, definitions and reusable design standards. Understand how data relates to the business and what attributes it has. Map data flows. Identify where to integrate data and track how it moves and transforms. Govern data. Analyze metadata.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

Sisense

JULY 22, 2020

In all cases the data will eventually be loaded into a different place, so it can be managed, and organized, using a package such as Sisense for Cloud Data Teams. Using data pipelines and data integration between data storage tools, engineers perform ETL (Extract, transform and load). Connect tables.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

AWS Big Data

FEBRUARY 1, 2023

The response times for these data sources are critical to our key stakeholders. Therefore, we must take a data-driven approach to select a high-performance architecture. Storage and redundancy – Due to the heterogeneous data stores and models, it was challenging to store the different datasets from various business stakeholder teams.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 107

Data Lake Management Metrics Data Warehouse 107

Cloudera

MAY 16, 2018

This approach also relates to monitoring internal fiduciary risk by tying separate events together, such as a large position (relative to historic norms) being taken immediately after the risk model that would have flagged it was modified in a separate system.

Data Lake 42

Data Lake Risk Visualization Unstructured Data 42

Ontotext

AUGUST 21, 2024

There is a confluence of activity—including generative AI models, digital twins, and shared ledger capabilities—that are having a profound impact on helping enterprises meet their goal of becoming data driven. But until they connect the dots across their data, they will never be able to truly leverage their information assets.

Knowledge Discovery 52

Knowledge Discovery Cost-Benefit Data-driven Metadata 52

AWS Big Data

APRIL 25, 2023

Looking for a tool that would enable us to democratize our data, we chose Amazon QuickSight , a cloud-native, serverless business intelligence (BI) service that powers interactive dashboards that lets us make better data-driven decisions, as a corporate solution for data visualization.

Visualization 52

Visualization IT Data-driven Reporting 52

FineReport

APRIL 3, 2024

Integrated with diverse data sources, they empower users to analyze data directly within the dashboard interface, democratizing data analytics for both technical and non-technical users. Dashboards offer immediate visualizations and interactivity, while reports provide in-depth insights that require thorough examination.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

IBM Big Data Hub

AUGUST 4, 2023

Architecture for data democratization Data democratization requires a move away from traditional “data at rest” architecture, which is meant for storing static data. Traditionally, data was seen as information to be put on reserve, only called upon during customer interactions or executing a program.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Alation

JANUARY 27, 2022

Raw data includes market research, sales data, customer transactions, and more. And historical data can be used to inform predictive analytic models, which forecast the future. Analytics can also be used to model useful information. But data integration is not trivial. Establishes Trust in Data.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Jet Global

AUGUST 24, 2023

Although many companies run their own on-premises servers to maintain IT infrastructure, nearly half of organizations already store data on the public cloud. The Harvard Business Review study finds that 88% of organizations that already have a hybrid model in place see themselves maintaining the same strategy into the future.

Finance 52

Finance Reporting Data Integration Risk 52

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

MAY 24, 2023

Organizations must understand how to extract complex data on a regular cadence and present the reporting to end users to manipulate through an interactive BI tool. Our rich visualizations, including tabular and pivot reporting, are ideal for presenting financial and operational reporting data. Reporting is inflexible.

Operational Reporting 52

Operational Reporting Reporting Finance Dashboards 52

Jet Global

SEPTEMBER 26, 2023

Data Integrity Maintenance: Data cleansing processes detect and rectify data integrity issues, such as duplicate entries or conflicting data. This proactive approach mitigates concerns regarding data reliability and fosters trust in the information.

Data Quality 52

Data Quality Reporting Management Software 52

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping helps standardize, visualize, and understand data across different systems and applications.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

FEBRUARY 20, 2024

80% of data scientists say they spend 60-80% of their time on data integration instead of actual analysis. When your data management challenges limit data analysis, you will struggle to provide the insights your leaders need to move with the market and keep pace with competition.

Operational Reporting 52

Operational Reporting Reporting Digital Transformation Optimization 52

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. They are integrated into everything, from the driving of performance (Progressive, State Farm), to home energy usage (Nest, Belkin). Pricing model: The pricing scale is dependent on several factors.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 6, 2022

Their combined utility makes it easy to create and maintain a complete data warehouse solution with very little effort. Jet acts as the perfect conduit between your ERP data and Power BI. Unlock Rapid Data Analysis in PowerBI With Jet. Data models must be refreshed either manually or on a set schedule.

Data Warehouse 52

Data Warehouse Visualization Finance Reporting 52

Jet Global

NOVEMBER 14, 2022

Users can track the pulse of enterprise performance, gaining instant access to data and analysis that might otherwise require extensive research hours to collect. Interactive EPM provides far more robust and flexible access to information than static reports. The quickest way to get started with interactive reporting is to work with?

Reporting 52

Reporting Sales Dashboards Metrics 52

Jet Global

MARCH 23, 2023

For them, self-service must cover tasks like data exploration, modeling, and deploying a sandbox environment for special use cases. You want to give users in your application access to seamlessly embedded analytics that offers personalized self-service and interactivity.

Dashboards 52

Dashboards Reporting Key Performance Indicator Interactive 52

Jet Global

NOVEMBER 15, 2022

As the need for greater interactivity and data access increases, more companies are adopting cloud computing. Although many companies run their own on-premise servers to maintain IT infrastructure, nearly half of organizations already store data on the public cloud. Cloud by the Numbers. Common EPM Cloud Migration Pitfalls.

Reporting 52

Reporting Finance Data Warehouse Software 52

Jet Global

SEPTEMBER 22, 2023

For application teams and users, having access to insightful and actionable data is not just a luxury; it’s a necessity. Let’s say you want to integrate publicly available contextual information into your Logi Symphony dashboard. With ChatGPT, this task becomes not just possible but very straightforward.

Dashboards 52

Dashboards Data-driven Visualization Interactive 52

Jet Global

JUNE 9, 2022

Too difficult & inflexible: Oracle data models are complex and difficult to integrate with other ERPs, BI tools, and cloud data warehouses. Changes made to the data model will often require technical support including, but not limited to, a forced reboot of connected applications.

Operational Reporting 52

Operational Reporting Reporting Finance Data Warehouse 52