IBM Big Data Hub

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. The dedicated data analyst Virtually any stakeholder of any discipline can analyze data.

Data Science 78

Data Science Data Analytics Prescriptive Analytics Analytics 78

AWS Big Data

FEBRUARY 1, 2024

In this post, we provide a solution architecture that describes how you can process data from three different types of sources—streaming, transactional, and third-party reference data—and aggregate them in Amazon Redshift for business intelligence (BI) reporting.

Data Warehouse 125

Data Warehouse Dashboards Risk Management Risk 125

CIO Business Intelligence

SEPTEMBER 26, 2023

But before such catastrophes come to light, what metrics do we use — or should we use — to determine whether a publicly traded company has their information management house in order? Data Architecture, Data Management, Privacy The returns on crafting effective information management strategies are significant.

Strategy 121

Strategy Data Architecture Metrics Management 121

DataKitchen

OCTOBER 11, 2021

First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. Figure 8: The DataKitchen Platform tracks collaboration, productivity and quality metrics. A DataOps implementation project consists of three steps. Priyanjna Sharma.

Testing 152

Testing Metadata Dashboards Statistics 152

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. These data pipelines generate valuable insights and curated data that are stored in Apache Iceberg tables for downstream usage.

Data Lake 90

Data Lake Analytics Snapshot Optimization 90

CIO Business Intelligence

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity. Data and cloud strategy must align.

Data Architecture 99

Data Architecture Data Integration IoT Strategy 99

CIO Business Intelligence

JULY 28, 2023

Develop a roadmap: Align short-, medium-, and long-term objectives with business goals rather than focusing solely on the technology. Prepare effectively: To deploy edge solutions successfully, you need to understand the types of in-house data involved, the existing data architecture, and application-performance requirements.

IT 75

IT IoT Reporting Data Architecture 75

AWS Big Data

DECEMBER 21, 2023

Overview of solution As a data-driven company, smava relies on the AWS Cloud to power their analytics use cases. smava ingests data from various external and internal data sources into a landing stage on the data lake based on Amazon Simple Storage Service (Amazon S3). This is the Data Mart stage.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

Sisense

SEPTEMBER 3, 2020

Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization. Database design is often an important part of the business analyst role. Unfortunately, there’s often no absolute rule about the use of this analyst job title.

Statistics 97

Statistics Metrics Visualization Finance 97

CIO Business Intelligence

JUNE 9, 2023

Data management’s ROI Customers often ask me how to “make the case” for data management. To derive data management’s ROI, your organization can use your relevant key performance indicators (KPIs). Learn more about data architectures in my article here. Read about Dell Technologies Data Management here.

Strategy 107

Strategy Management Key Performance Indicator ROI 107

AWS Big Data

JULY 28, 2023

Recently, Athena added support for creating and querying views on federated data sources to bring greater flexibility and ease of use to use cases such as interactive analysis and business intelligence reporting. The term data mesh refers to a data architecture with decentralized data ownership.

Big Data 83

Big Data Data Architecture Data Lake Interactive 83

Birst BI

FEBRUARY 25, 2020

However, analytic silos can still be a huge problem if the business intelligence platform paired with Snowflake does not offer the right balance of IT governance and end-user self-service. Customers such as Crossmark , DJO Global and others use Birst with Snowflake to deliver the ultimate modern data architecture.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52

AWS Big Data

JANUARY 22, 2024

The majority of data produced by these accounts is used downstream for business intelligence (BI) purposes and in Amazon Athena , by hundreds of business users every day. The solution Acast implemented is a data mesh, architected on AWS.

Data-driven 87

Data-driven Advertising Metadata Data Architecture 87

Alation

OCTOBER 12, 2021

The third challenge was around trusting the data. There are inconsistent definitions and inconsistent metrics, and a lack of trust in the data used in the metrics. The fourth challenge was around using the data. There was a real lack of confidence in using the data and the risk of using the wrong data.

Strategy 52

Strategy Enterprise Analytics Data Governance 52

AWS Big Data

NOVEMBER 9, 2023

Third-party APIs – These provide analytics and survey data related to ecommerce websites. This could include details like traffic metrics, user behavior, conversion rates, customer feedback, and more. Flat files – Other systems supply data in the form of flat files of different formats.

Data Warehouse 107

Data Warehouse Testing Data Quality Reporting 107

CIO Business Intelligence

MARCH 28, 2022

Maintaining close communication with business stakeholders is the only way to know where a minimum viable enterprise architecture can best help the business and drive funding for continuing EA assessments as business needs change. At Carrier Global Corp.,

Enterprise 102

Enterprise Measurement Reporting Cost-Benefit 102

Jet Global

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., that gathers data from many sources.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

CIO Business Intelligence

FEBRUARY 20, 2023

This Salesforce Service Cloud Consultant certification recognizes individuals who design solutions for contact centers, as well as analytics solutions for metric tracking. The certification emphasizes testing, governance, and integration with external systems within an organization’s infrastructure.

Consulting 61

Consulting B2B Cost-Benefit Sales 61

Peter James Thomas

OCTOBER 1, 2019

The single red line shows the actual value of some metric up to the middle section of the chart. A further example is contained in Limitations of Business Intelligence. I use Radar Charts myself extensively when assessing organisations’ data capabilities. Such charts are sometimes called Fan Charts. Scatter Charts.

Sales 61

Sales Measurement Statistics Data Architecture 61

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 115

Data Lake Metadata Optimization Statistics 115