Sisense

AUGUST 6, 2020

AI can add value to your product/service in many ways, including: Improved business performance Reduced costs Increased customer satisfaction Improved brand value Risk reduction (reduced human error, fraud reduction, spam reduction) Improved convenience and accessibility of products. An obvious mechanical answer is: use relevance as a metric.

Management 95

Management Machine Learning Key Performance Indicator Cost-Benefit 95

Cloudera

JUNE 17, 2022

Instead of configuring every on-premises application to push data to your cloud NiFi deployments, the most efficient approach is to establish a NiFi deployment on-premises (e.g. using Cloudera Flow Management) and use it to collect data from all your on-premises systems. Syslog data pipelines for cybersecurity use cases.

Cost-Benefit 97

Cost-Benefit IoT Data Warehouse Manufacturing 97

AWS Big Data

JULY 27, 2023

The over 200 transformations it provides are now available to be used in an AWS Glue Studio visual job. In DataBrew, a recipe is a set of data transformation steps that you can author interactively in its intuitive visual interface. runtime and benefit from the significant performance improvements it brings.

Visualization 84

Visualization Cost-Benefit Data Quality Interactive 84

DataRobot Blog

APRIL 4, 2022

The three main ingredients are: Sales data (usually weekly): product quantity, value, selling distribution, promotional activity (discounts, multi-buys, etc.) Media data (usually weekly): media costs, media ratings generated (TVRs, magazine copies, digital impressions, likes, shares, etc.), Classical Modeling Considerations.

Machine Learning 52

Machine Learning Sales Measurement ROI 52

Sisense

MAY 11, 2021

The new architecture requires that data be structured in a dimensional model to optimize for BI capabilities, but it also allows for ad hoc analytics with the flexibility to query clean and raw data. Reporting Reporting contains the flattest and most cleaned version of our data.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

MARCH 3, 2023

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects. Fixed-size data files avoid further latency due to unbound file sizes.

Software 52

Software Data Lake Testing Cost-Benefit 52

DataKitchen

APRIL 26, 2021

GSK’s DataOps journey paralleled their data transformation journey. He also found it helpful to highlight the costs associated with errors and downtime and the upside of improved productivity. Multiple Metrics for Success. Workiva uses a broad range of metrics to measure success.

Measurement 246

Measurement Metrics Data-driven Testing 246

AWS Big Data

DECEMBER 21, 2023

The data volume is in double-digit TBs with steady growth as business and data sources evolve. smava’s Data Platform team faced the challenge to deliver data to stakeholders with different SLAs, while maintaining the flexibility to scale up and down while staying cost-efficient.

Data Lake 90

Data Lake Data Warehouse Data-driven B2B 90

Jet Global

MAY 28, 2019

Whether the reporting is being done by an end user, a data science team, or an AI algorithm, the future of your business depends on your ability to use data to drive better quality for your customers at a lower cost. So, when it comes to collecting, storing, and analyzing data, what is the right choice for your enterprise?

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

Birst BI

FEBRUARY 25, 2020

Managing large-scale data warehouse systems has been known to be very administrative, costly, and lead to analytic silos. The good news is that Snowflake, the cloud data platform, lowers costs and administrative overhead. The result is a lower total cost of ownership and trusted data and analytics.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52

Alation

NOVEMBER 22, 2022

An active data governance framework includes: Assigning data stewards. Standardizing data formats. Identifying structured and unstructured data. Setting data management policies, like tagging data. Quantifying effectiveness with metrics. Data governance is the foundation for these strategies.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

Jet Global

MAY 1, 2023

Now, Delta managers can get a full understanding of their data for compliance purposes. Additionally, with write-back capabilities, they can clear discrepancies and input data. These benefits provide a 360-degree feedback loop. In this new era, users expect to reap the benefits of analytics in every application that they touch.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 9, 2024

Data Extraction : The process of gathering data from disparate sources, each of which may have its own schema defining the structure and format of the data and making it available for processing. 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