Octopai

APRIL 8, 2020

While there are many factors that led to this event, one critical dynamic was the inadequacy of the data architectures supporting banks and their risk management systems. It required banks to maintain data architecture supporting risk aggregation at all times. These tools extract, sort, and integrate thousands of metrics.

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

AWS Big Data

MARCH 26, 2024

The following figure shows some of the metrics derived from the study. Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels. Learn from this to build querying capabilities across your data lake and the data warehouse.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

CIO Business Intelligence

JUNE 9, 2023

Data management defined You may be wondering what data management means. Simply put, data management is a sophisticated process involving various stages, such as data storage, processing, analysis, and visualization. Data management’s ROI Customers often ask me how to “make the case” for data management.

Strategy 101

Strategy Management Key Performance Indicator ROI 101

AWS Big Data

FEBRUARY 6, 2023

In this post, we dive deep into the tool, walking through all steps from log ingestion, transformation, visualization, and architecture design to calculate TCO. With QuickSight, you can visualize YARN log data and conduct analysis against the datasets generated by pre-built dashboard templates and a widget.

Dashboards 78

Dashboards Optimization Data Lake Cost-Benefit 78

Sisense

SEPTEMBER 3, 2020

Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization. This includes database modeling, metrics definition, dashboard design , and creating and publishing executive reports. Data job titles: Bridges between roles.

Statistics 97

Statistics Metrics Visualization Finance 97

AWS Big Data

JANUARY 8, 2024

Kinesis Data Streams has native integrations with other AWS services such as AWS Glue and Amazon EventBridge to build real-time streaming applications on AWS. Refer to Amazon Kinesis Data Streams integrations for additional details. The raw data can be streamed to Amazon S3 for archiving.

Analytics 115

Analytics IoT Data-driven Snapshot 115

IBM Big Data Hub

DECEMBER 4, 2023

For organizations embarking on a digital transformation , it’s crucial to visualize how an ERP system will integrate with every aspect of a business’ operations. This phase of planning also covers projected project milestones and well-defined metrics for the system once it goes live.

Testing 74

Testing Consulting Digital Transformation Cost-Benefit 74

Octopai

JULY 9, 2020

Here are some scenarios in which companies found real benefits from automated data lineage solutions: Data Lineage Enables Complex Data Processing Operations. It required banks to develop a data architecture that could support risk-management tools.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

DataKitchen

JANUARY 3, 2022

Data scientists derive insights from data while business analysts work closely with and tend to the data needs of business units. Business analysts sometimes perform data science, but usually, they integrate and visualize data and create reports and dashboards from data supplied by other groups.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

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

Alation

AUGUST 18, 2022

The challenge today is to think more broadly about what these data things could or should be. It’s important to realize that we need visibility into lineage and relationships between all data and data-related assets, including business terms, metric definitions, policies, quality rules, access controls, algorithms, etc.

Metadata 69

Metadata Visualization Statistics Data Architecture 69

AWS Big Data

NOVEMBER 15, 2023

They can use their own toolsets or rely on provided blueprints to ingest the data from source systems. Once released, consumers use datasets from different providers for analysis, machine learning (ML) workloads, and visualization. The difference lies in when and where data transformation takes place.

Dashboards 97

Dashboards Analytics Metadata Data Warehouse 97

AWS Big Data

MARCH 25, 2024

Stream processing, however, can enable the chatbot to access real-time data and adapt to changes in availability and price, providing the best guidance to the customer and enhancing the customer experience. When the model finds an anomaly or abnormal metric value, it should immediately produce an alert and notify the operator.

Data Lake 92

Data Lake Unstructured Data Management Modeling 92

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. We rely on increasingly mobile technology to comb through massive amounts of data and solve high-value problems. Plus, there is an expectation that tools be visually appealing to boot. Their dashboards were visually stunning.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Birst BI

FEBRUARY 25, 2020

Customers such as Crossmark , DJO Global and others use Birst with Snowflake to deliver the ultimate modern data architecture. Data never leaves Snowflake with Birst’s ability to support the reporting and self-service needs of both centralized IT and decentralized LOB teams.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52

AWS Big Data

MARCH 3, 2023

With fast and fine-grained scaling in EMR Serverless, if a pipeline runs daily and needs to process 1 GB of data one day and 100 GB of data another day, EMR Serverless automatically scales to handle that load. Monitoring – EMR Serverless sends metrics to Amazon CloudWatch at the application and job level every 1 minute.

Data Lake 86

Data Lake Dashboards Metrics Metadata 86

DataKitchen

JANUARY 23, 2023

On the other hand, DataOps Observability refers to understanding the state and behavior of data as it flows through systems. It allows organizations to see how data is being used, where it is coming from, and how it is being transformed. Are problems with data tests? Which report tab is wrong? When did it last run? Did it fail?

Testing 130

Testing Data Governance Data Quality Data-driven 130

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 58

Consulting B2B Cost-Benefit Sales 58