Sisense

MARCH 9, 2020

Learn about the changes they’re making to not just remain competitive, but win in the future to stand the test of time. One of the main goals of a digital transformation is to empower everyone within an organization to make smarter, data-driven decisions. More data, more problems. Actionable analytics increase adoption.

Data Integration 93

Data Integration Enterprise Slice and Dice Digital Transformation 93

DataKitchen

MAY 10, 2024

Production: During the production cycle, oversee multi-tool and multi-data set processes, such as dashboard production and warehouse building, ensuring that all components function correctly and the correct data is delivered to your customers. Quickly locate and address data or process errors before they affect downstream results.

Testing 100

Testing Metrics Data Quality Dashboards 100

DataKitchen

NOVEMBER 10, 2023

Extrinsic Control Deficit: Many of these changes stem from tools and processes beyond the immediate control of the data team. Unregulated ETL/ELT Processes: The absence of stringent data quality tests in ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) processes further exacerbates the problem.

Data Quality 141

Data Quality Testing Data Lake Data Integration 141

DataKitchen

MAY 10, 2024

Production : During the production cycle, oversee multi-tool and multi-data set processes, such as dashboard production and warehouse building, ensuring that all components function correctly and the correct data is delivered to your customers. Verifying data completeness and conformity to predefined standards.

Data Quality 100

Data Quality Testing Software Dashboards 100

DataKitchen

JANUARY 25, 2022

DataOps improves the robustness, transparency and efficiency of data workflows through automation. For example, DataOps can be used to automate data integration. Previously, the consulting team had been using a patchwork of ETL to consolidate data from disparate sources into a data lake.

Consulting 244

Consulting Testing Data Lake Data Quality 244

DataKitchen

JANUARY 19, 2022

The Matillion data integration and transformation platform enables enterprises to perform advanced analytics and business intelligence using cross-cloud platform-as-a-service offerings such as Snowflake. DataKitchen acts as a process hub that unifies tools and pipelines across teams, tools and data centers.

Testing 130

Testing Data Integration Data Warehouse Enterprise 130

Business Over Broadway

SEPTEMBER 27, 2018

genetic counseling, genetic testing). Data Integration as your Customer Genome Project. Data Integration is an exercise in creating your customer genome. Using the 2×2 graphical approach to understanding data size (i.e., pharmacogenomics) and risk assessment of genetic disorders (e.g.,

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Domino Data Lab

JULY 20, 2022

Validations and tests are key elements to building machine learning pipelines you can trust. We've also talked about incorporating tests in your pipeline, which many data scientists find problematic. Enter Deepchecks - an open source Python package for testing and validating machine learning models and data.

Machine Learning 98

Machine Learning Testing Modeling Data Integration 98

DataKitchen

FEBRUARY 27, 2024

The Imperative of Data Quality Validation Testing Data quality validation testing is not just a best practice; it’s imperative. Validation testing is a safeguard, ensuring that the data feeding into LLMs is of the highest quality.

Data Quality 120

Data Quality Unstructured Data Testing Modeling 120

DataKitchen

JUNE 19, 2023

Another way to look at the five pillars is to see them in the context of a typical complex data estate. .” – Take A Bow, Rihanna (I may have heard it wrong) Validating data quality at rest is critica l to the overall success of any Data Journey. The image above shows an example ‘’data at rest’ test result.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

DataKitchen

OCTOBER 20, 2023

Example 2: The Data Engineering Team Has Many Small, Valuable Files Where They Need Individual Source File Tracking In a typical data processing workflow, tracking individual files as they progress through various stages—from file delivery to data ingestion—is crucial.

Insurance 176

Insurance Metadata Data-driven Data Quality 176

CIO Business Intelligence

MAY 8, 2024

Then we have to make sense of the data, massage it and import it in our system. The first is to reconcile the data. Our system has a mandatory data integrity check, so if you try to import the data that doesn’t reconcile, our system isn’t going to let you, so we don’t allow any shortcuts. If so, we’re ready to go.

Risk 107

Risk Testing Strategy Technology 107

Ontotext

FEBRUARY 14, 2024

Data integration If your organization’s idea of data integration is printing out multiple reports and manually cross-referencing them, you might not be ready for a knowledge graph. Fortunately, Graphs, RDFs, SHACL, and SPARQL are superb tools for helping you clean the data. How do you do that?

Recreation/Entertainment 105

Recreation/Entertainment Data Integration Modeling Data Quality 105

AWS Big Data

MAY 18, 2023

It’s even harder when your organization is dealing with silos that impede data access across different data stores. Seamless data integration is a key requirement in a modern data architecture to break down data silos. We observed that our TPC-DS tests on Amazon S3 had a total job runtime on AWS Glue 4.0

Testing 73

Testing Data Lake Cost-Benefit Data Integration 73

CIO Business Intelligence

JANUARY 11, 2024

CIOs are under increasing pressure to deliver AI across their enterprises – a new reality that, despite the hype, requires pragmatic approaches to testing, deploying, and managing the technologies responsibly to help their organizations work faster and smarter. The top brass is paying close attention.

Enterprise 120

Enterprise Uncertainty Risk Management Reporting 120

DataKitchen

OCTOBER 2, 2023

.’ What’s a Data Journey? Data Journeys track and monitor all levels of the data stack, from data to tools to code to tests across all critical dimensions. A Data Journey supplies real-time statuses and alerts on start times, processing durations, test results, and infrastructure events, among other metrics.

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

IBM Big Data Hub

NOVEMBER 14, 2023

To compound these issues, repeated surveys highlight “testing” as the primary area causing delays in project timelines. ” This cloud-native development and testing environment for z/OS applications is revolutionizing the modernization process by enabling secure DevSecOps practices.

Digital Transformation 100

Digital Transformation Testing Interactive Software 100

CIO Business Intelligence

JANUARY 5, 2023

Many customers find the sweet spot in combining them with similar low code/no code tools for data integration and management to quickly automate standard tasks, and experiment with new services. Customers also report they help business users quickly test new services, tweak user interfaces and deliver new functionality.

IT 127

IT Cost-Benefit Testing Dashboards 127

CIO Business Intelligence

OCTOBER 11, 2023

Generative AI will play a large role in employee productivity, according to 58% of respondents — to the extent that they are starting proofs of concept to test it for themselves. Around 30% of IT decision-makers are already putting generative AI tools in users’ hands, and 23% say they are testing apps from vendor partners.

IT 130

IT Software Testing Manufacturing 130

IBM Big Data Hub

FEBRUARY 6, 2024

Through the development of cyber recovery plans that include data validation through custom scripts, machine learning to increase data backup and data protection capabilities, and the deployment of virtual machines (VMs) , companies can recover from cyberattacks and prevent re-infection by malware in the future.

Cost-Benefit 95

Cost-Benefit Testing Risk Strategy 95

AWS Big Data

AUGUST 22, 2023

This post proposes an automated solution by using AWS Glue for automating the PostgreSQL data archiving and restoration process, thereby streamlining the entire procedure. You can create an AWS Cloud9 environment in one of the private subnets available in your AWS account to set up test data in Amazon RDS.

Data Processing 84

Data Processing Testing Data Lake Data Integration 84

Smarten

JANUARY 30, 2024

Business users cannot even hope to prepare data for analytics – at least not without the right tools. Gartner predicts that, ‘data preparation will be utilized in more than 70% of new data integration projects for analytics and data science.’ So, why is there so much attention paid to the task of data preparation?

Analytics 67

Analytics Data Quality Visualization Metadata 67

Jet Global

JANUARY 22, 2021

It allows organizations to dive right in and view Longview Tax using their own entities and account structures, while also testing the values from their workpapers. This step helps to identify any changes that might need to be made either to Longview Tax’s processes or the data that are provided in the loader files. System setup.

Testing 98

Testing Software Reporting Forecasting 98

IBM Big Data Hub

DECEMBER 4, 2023

They must also make sure that customer data is secure and that its use is compliant with data privacy regulations. More advanced generative AI use cases With a focus on safety, data integrity and security, the industry can move forward with testing more advanced generative AI implementations.

Optimization 73

Optimization Testing Machine Learning Measurement 73

CIO Business Intelligence

OCTOBER 26, 2023

Although job descriptions will vary by company, according to a sample BI analyst job description from Indeed, general responsibilities for the role include: Review and validate customer data as it is collected Oversee deployment of data to a data warehouse Develop policies and procedures for the collection and analysis of data Create or discover new (..)

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

CIO Business Intelligence

MAY 14, 2024

Controlling escalating cloud and AI costs and preventing data leakage are the top reasons why enterprises are eying hybrid infrastructure as their target AI solution. But the company’s critical data — and any future generative AI data — will likely run on its new hosted private cloud, says Andrew Cotter, Somerset’s EVP and CIO. “As

IT 123

IT Data Processing Enterprise Modeling 123

CIO Business Intelligence

NOVEMBER 8, 2023

Every upgrade required long integration and test cycles. It was creating silos of data which caused lack of reliable insight. Union Pacific had over 100 custom applications. Maintaining them through upgrades and ensuring compatibility with core systems was draining, costing too much time and money.

Cost-Benefit 119

Cost-Benefit Digital Transformation Data-driven Finance 119

CIO Business Intelligence

JANUARY 5, 2024

We tested it three years ago, saw its usefulness, and now we have an RPA factory for the entire company. We’re analyzing the maturity level and have a private testing environment with Microsoft to see how we can benefit from it in the short term, especially in terms of interaction with users. This is what happened with RPA.

IT 111

IT Finance Cost-Benefit Strategy 111

Sisense

JANUARY 14, 2021

VP of Business Intelligence Michael Hartmann describes the problem: “When an upstream data model change was introduced, it took a few days for us to notice that one of our Sisense charts was ‘broken.’ With that in mind, the developers at Billie came up with the idea to automatically test Sisense charts.

Dashboards 85

Dashboards Testing Business Intelligence Interactive 85

erwin

OCTOBER 8, 2020

The desire to modernize technology, over time, leads to acquiring many different systems with various data entry points and transformation rules for data as it moves into and across the organization. Map data movement: erwin DI’s Mapping Manager defines data movement and transformation requirements via drag-and-drop functionality.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

Smart Data Collective

NOVEMBER 10, 2021

Analyze the originating source data, along with the target database. Test the conversion in at least three iterations and quality check the results. Implement the plan by converting (or transforming) the data into the formatting required by the target database. Issues Related to Data Migration.

Testing 120

Testing Data Integration Software Modeling 120

DataKitchen

DECEMBER 20, 2020

DataOps Engineers implement the continuous deployment of data analytics. They give data scientists tools to instantiate development sandboxes on demand. They automate the data operations pipeline and create platforms used to test and monitor data from ingestion to published charts and graphs.

Data-driven 147

Data-driven Manufacturing Data Architecture Data Analytics 147

AWS Big Data

FEBRUARY 8, 2023

Vyaire developed a custom data integration platform, iDataHub, powered by AWS services such as AWS Glue , AWS Lambda , and Amazon API Gateway. In this post, we share how we extracted data from SAP ERP using AWS Glue and the SAP SDK. Test the connection with SAP using the wheel file. Create the PyRFC wheel file.

Testing 70

Testing Data Integration Data Lake Enterprise 70

CIO Business Intelligence

JUNE 7, 2022

Prescriptive analytics is a type of advanced analytics that involves the application of testing and other techniques to recommend specific solutions that will deliver desired outcomes. Analytics has helped the company reduce the testing time for any given new material from 10 days to about two hours.

Data Analytics 133

Data Analytics Diagnostic Analytics Management Analytics 133

O'Reilly on Data

DECEMBER 12, 2019

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. It’s a very simple and powerful idea: simulate data that you find interesting and see what a model predicts for that data. 6] See: Testing and Debugging Machine Learning Models. [7]

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

CIO Business Intelligence

NOVEMBER 17, 2022

This gives companies the ability to quickly adapt software and processes and implement innovative methodologies — like DevOps and Continuous Integration Continuous Development (CI/CD) testing — to continually improve operations, bring products and services to market faster, and develop better customer outcomes.

Software 140

Software Management Digital Transformation Data Governance 140

Cloudera

JUNE 22, 2023

It ensures compliance with regulatory requirements while shifting non-sensitive data and workloads to the cloud. Its built-in intelligence automates common data management and data integration tasks, improves the overall effectiveness of data governance, and permits a holistic view of data across the cloud and on-premises environments.

Cost-Benefit 68

Cost-Benefit Digital Transformation Data Governance Unstructured Data 68