FineReport

APRIL 26, 2023

” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. The tool is designed to be intuitive, so even users with limited technical expertise can create reports and dashboards quickly and easily. It supports master-slave replication for data backup.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Alation

SEPTEMBER 7, 2021

In the next section, let’s take a deeper look into how these key attributes help data scientists and analysts make faster, more informed decisions, while supporting stewards in their quest to scale governance policies on the Data Cloud easily. Find Trusted Data. Verifying quality is time consuming.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

Smart Data Collective

APRIL 29, 2020

This process helps to transform raw data into clean data that can be analysed and aggregated. Data analytics and visualisation. This involves the processing of selecting data from data warehouses, data analytics and presentation in dashboards and visualisations. Reference data management.

Management 85

Management Data Warehouse Digital Transformation Dashboards 85

AWS Big Data

JUNE 6, 2023

Data consumers lose trust in data if it isn’t accurate and recent, making data quality essential for undertaking optimal and correct decisions. Evaluation of the accuracy and freshness of data is a common task for engineers. Currently, various tools are available to evaluate data quality.

Data Quality 71

Data Quality Data Lake Data-driven Metrics 71

Ontotext

MAY 2, 2024

Data-centric approach In the data-centric approach, metadata serves as a layer of interoperability between the data sources. This powers numerous applications, insight generations, dashboards, and tools. It also enables business teams to have their data at their fingertips and have a uniform view of it.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

CDW Research Hub

AUGUST 12, 2020

Some benefits include: Accelerated management decisions involving multiple systems with centralized accountability, a documented escalation process for issue resolution, and improved information for management decisions. Reduced duplication of data, numbers of system interfaces and manual data entry processes.

Data Governance 52

Data Governance Data-driven Dashboards Strategy 52

Jet Global

MAY 1, 2020

Data quality issues. Here’s the ugly truth: Everybody has a data quality problem. This is because people won’t use BI applications that are founded on irrelevant, incomplete, or questionable data. That’s because nothing will highlight data quality issues like seeing them pop up in a dashboard.

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

IBM Big Data Hub

JANUARY 8, 2024

 It includes a built-in schema registry to validate event data from applications as expected, improving data quality and reducing errors. Event Endpoint Management produces valid AsyncAPI documents based on event schemas or sample messages. Ready to take the next step?

Data-driven 79

Data-driven Management Advertising Enterprise 79

AWS Big Data

MARCH 7, 2023

ETL (extract, transform, and load) technologies, streaming services, APIs, and data exchange interfaces are the core components of this pillar. Unlike ingestion processes, data can be transformed as per business rules before loading. You can apply technical or business data quality rules and load raw data as well.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

Sisense

FEBRUARY 10, 2021

The old adage “garbage in, garbage out” rings very true when it comes to data analysis, and we had to do a number of things to verify that the data entering the Cascade Insight platform was clean. It started with implementing data validation rules, including basics like only accepting numbers for numerical inputs, etc.

Dashboards 52

Dashboards Enterprise Risk Software 52

datapine

APRIL 15, 2020

It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. Working software over comprehensive documentation. Discover the available data sources.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

datapine

FEBRUARY 17, 2023

That said, data and analytics are only valuable if you know how to use them to your advantage. Poor-quality data or the mishandling of data can leave businesses at risk of monumental failure. In fact, poor data quality management currently costs businesses a combined total of $9.7 million per year.

Analytics 191

Analytics Cost-Benefit Dashboards Business Intelligence 191

O'Reilly on Data

JULY 15, 2019

Regulators behind SR 11-7 also emphasize the importance of data—specifically data quality , relevance , and documentation. While models garner the most press coverage, the reality is that data remains the main bottleneck in most ML projects.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

Occam's Razor

AUGUST 22, 2011

Slay The Analytics Data Quality Dragon & Win Your HiPPO's Love! Web Data Quality: A 6 Step Process To Evolve Your Mental Model. The Ultimate Web Analytics Data Reconciliation Checklist. The "Action Dashboard" (An Alternative To Crappy Dashboards). Who Owns Web Analytics?

KPI 124

KPI Metrics Measurement ROI 124

CIO Business Intelligence

FEBRUARY 20, 2023

To earn this cert, candidates should know how to maintain and modify Sales Cloud and Service Cloud applications; manage users, data, and security; and construct dashboards, reports, and workflows.

Consulting 80

Consulting B2B Cost-Benefit Sales 80

datapine

JANUARY 21, 2020

Since humans process visual information 60.000 times faster than text , the workflow can be significantly increased by utilizing smart intelligence in the form of interactive, and real-time visual data. Each information can be gathered into a single, live dashboard , that will ultimately secure a fast, clear, simple, and effective workflow.

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

Peter James Thomas

SEPTEMBER 19, 2018

The peterjamesthomas.com Data and Analytics Dictionary is an active document and I will continue to issue revised versions of it periodically. Data Asset. Data Audit. Data Classification. Data Consistency. Data Controls. Data Curation (contributor: Tenny Thomas Soman ).

Analytics 45

Analytics Testing Data Strategy Data Integration 45

DataRobot Blog

JULY 21, 2022

Inquire whether there is sufficient data to support machine learning. Document assumptions and risks to develop a risk management strategy. Data aggregation such as from hourly to daily or from daily to weekly time steps may also be required. Perform data quality checks and develop procedures for handling issues.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

CIO Business Intelligence

JANUARY 23, 2024

Quality metrics can be used to measure the improvements that come from reducing defects, lowering the impacts of human errors, improving data quality, and other program outcomes that illustrate how increasing quality connects to business impact.

Measurement 141

Measurement Digital Transformation KPI Metrics 141

InsightOut

MAY 20, 2022

In listening to them describe their experience – what went well and not so well – and reviewing their existing approach and documentation, I have observed a number of patterns. With these projects, there are clear technical challenges that can also lead to problems, such as data quality and accessibility.

Analytics 52

Analytics Dashboards Optimization Technology 52

AWS Big Data

NOVEMBER 16, 2023

Through Amazon Redshift in-memory result set caching and compilation caching, workloads ranging from dashboarding to visualization to business intelligence (BI) that run repeat queries experience a significant performance boost. Caching Amazon Redshift uses multiple layers of caching to deliver subsecond response times for repeat queries.

Enterprise 80

Enterprise Data Warehouse Snapshot Cost-Benefit 80

Cloudera

SEPTEMBER 7, 2023

The way to manage this is by embedding data integration, data quality-monitoring, and other capabilities into the data platform itself , allowing financial firms to streamline these processes, and freeing them to focus on operationalizing AI solutions while promoting access to data, maintaining data quality, and ensuring compliance.

Insurance 82

Insurance Risk Data-driven Finance 82

Jet Global

MARCH 4, 2020

How to Build Useful KPI Dashboards. Now it is time to look at some data management best practices. How to Keep Track of Your KPI Data. Quality control and process management are not the most exciting things going on at a manufacturing company, but they are the backbone of the operation. View Guide Now.

Manufacturing 80

Manufacturing Metrics Reporting KPI 80

AWS Big Data

MARCH 3, 2023

Additionally, the scale is significant because the multi-tenant data sources provide a continuous stream of testing activity, and our users require quick data refreshes as well as historical context for up to a decade due to compliance and regulatory demands. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

Alation

MARCH 21, 2023

By building a governance framework to address data usage and quality issues, Virgin Australia was able to standardize definitions to facilitate data discovery and build trust. Finnair Finland’s national airline, Finnair , wanted to break down data silos to standardize metrics and support better communication across teams.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Alation

SEPTEMBER 23, 2021

Behavioral intelligence, embedded in the catalog, learns from user behavior to enforce best practices through features like data quality flags, which help folks stay compliant as they use data. Active Governance – Active data governance creates usage-based assignments, which prioritize and delegate curation duties.

Enterprise 52

Enterprise Metadata Data Governance Visualization 52

Andrew White

JANUARY 9, 2022

There are many tactics to employ that might help – including data literacy; storytelling; use of our value pyramid/business value model; use of our decision intelligence model. Is there a good map that shows the connections between data, advanced analytics, digital, innovation, etc. That is the key. – Yes and no.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Grooper

AUGUST 19, 2019

It includes the reports, charts, dashboards, and terminology unique to your organization. ISL helps today's business leaders understand how data answers business questions. Recognizing text and certain features of a document require training as well. From here on out, I’ll refer to ML and data science as just AI.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

datapine

AUGUST 29, 2022

And with that understanding, you’ll be able to tap into the potential of data analysis to create strategic advantages, exploit your metrics to shape them into stunning business dashboards , and identify new opportunities or at least participate in the process. Your Chance: Want to put your big data knowledge to use?

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Domino Data Lab

JUNE 15, 2021

This is the core functionality of the Domino’s Enterprise MLOps platform – a system that enables fast, reproducible, and collaborative work on data products like models, dashboards, and data pipelines. Existing preprocessing, data ingestion, and data quality processes can be converted from Java/Spark into Java UDFs.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69

DataRobot Blog

DECEMBER 20, 2022

You can understand the data and model’s behavior at any time. Once you use a training dataset, and after the Exploratory Data Analysis, DataRobot flags any data quality issues and, if significant issues are spotlighted, will automatically handle them in the modeling stage. Rapid Modeling with DataRobot AutoML.

Management 59

Management Machine Learning Optimization Modeling 59

datapine

FEBRUARY 22, 2022

They can govern the implementation with a documented business case and be responsible for changes in scope. On the flip side, document everything that isn’t working. What data analysis questions are you unable to currently answer? Clean data in, clean analytics out. Develop a “Data Dictionary”. It’s that simple.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

CIO Business Intelligence

NOVEMBER 7, 2023

Opting for a centralized data and reporting model rather than training and embedding analysts in individual departments has allowed us to stay nimble and responsive to meet urgent needs, and prevented us from spending valuable resources on low-value data projects which often had little organizational impact,” Higginson says.

Data Warehouse 142

Data Warehouse Digital Transformation Reporting Data-driven 142

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Cloudera

AUGUST 26, 2020

The Cloudera Connect Technology Certification program uses a well-documented process to test and certify our Independent Software Vendors’ (ISVs) integrations with our data platform. Qlik integrates with Hive and Impala to provide a real-time dashboarding experience to business analysts. Certified Data Quality Partner.

Machine Learning 81

Machine Learning Big Data Data Warehouse Data-driven 81

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

datapine

APRIL 16, 2019

Working with a team who knows the data you are working with opens the door to helpful and insightful feedback. Democratizing data empowers all people, regardless of their technical skills, to access it and help make informed decisions. The cost of waiting to see what happens is well documented…. 4) Find the unresolved questions.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287