datapine

AUGUST 7, 2019

If you’re part of a growing SaaS company and are looking to accelerate your success, leveraging the power of data is the way to gain a real competitive edge. A SaaS dashboard is a powerful business intelligence tool that offers a host of benefits for ambitious tech businesses. That’s where SaaS dashboards enter the fold.

Dashboards 168

Dashboards Management KPI Cost-Benefit 168

erwin

SEPTEMBER 2, 2024

Added data quality capability ready for an AI era Data quality has never been more important than as we head into this next AI-focused era. erwin Data Quality is the data quality heart of erwin Data Intelligence. erwin Data Quality is the data quality heart of erwin Data Intelligence.

Data Quality 52

Data Quality Data Processing Measurement Metadata 52

datapine

MAY 21, 2019

These benefits include cost efficiency, the optimization of inventory levels, the reduction of information waste, enhanced marketing communications, and better internal communication – among a host of other business-boosting improvements. 7) Dealing with the impact of poor data quality.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

datapine

MARCH 27, 2019

Customer data management is the key to sustainable commercial success. Here, we’ll explore customer data management, offering a host of practical tips to help you embrace the power of customer data management software the right way. What Is Customer Data Management (CDM)? Net Promoter Score. Customer Effort Score.

Management 129

Management Data-driven Dashboards Visualization 129

O'Reilly on Data

DECEMBER 12, 2019

Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes. The study of security in ML is a growing field—and a growing problem, as we documented in a recent Future of Privacy Forum report. [8].

Machine Learning 196

Machine Learning Modeling Testing Risk Management 196

datapine

APRIL 15, 2020

You need to determine if you are going with an on-premise or cloud-hosted strategy. You will need to continually return to your business dashboard to make sure that it’s working, the data is accurate and it’s still answering the right questions in the most effective way. Construction Iterations.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

datapine

AUGUST 21, 2019

With a host of interactive sales graphs and specialized charts, this sales graph template is a shining example of how to present sales data for your business. This is a business report example worth exploring since it can provide all the details for a strategic sales development of a company.

Sales 235

Sales Dashboards KPI Visualization 235

AWS Big Data

AUGUST 1, 2024

Migrating to Amazon Redshift offers organizations the potential for improved price-performance, enhanced data processing, faster query response times, and better integration with technologies such as machine learning (ML) and artificial intelligence (AI).

Data Warehouse 113

Data Warehouse KPI Optimization Cost-Benefit 113

AWS Big Data

JULY 20, 2023

Prior to the creation of the data lake, Orca’s data was distributed among various data silos, each owned by a different team with its own data pipelines and technology stack. Moreover, running advanced analytics and ML on disparate data sources proved challenging.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

Cloudera

DECEMBER 9, 2024

Many enterprises encounter bottlenecks related to data quality, model deployment, and infrastructure requirements that hinder scaling efforts. GenAI Solution Pattern Clouderas platform provides a strong foundation for GenAI applications, supporting everything from secure hosting to end-to-end AI workflows.

Data Processing 65

Data Processing Predictive Analytics Modeling Optimization 65

Alation

SEPTEMBER 30, 2022

Seeing this trend, Bessemer sought to define a new metric for assessing the success of a private SaaS company – achieving $100M of ARR (annual recurring revenue). In this blog, I’ll talk about the data catalog and data intelligence markets, and the future for Alation. Increasing returns & impact at scale.

Measurement 92

Measurement Metrics Data Governance Sales 92

CIO Business Intelligence

JULY 31, 2024

As an integrated manufacturing capability, Dow is a complex puzzle, and these AI models help us incorporate historical data, market trends, and customer behaviors, all of which allow us to produce a more precise demand plan. Also, last August, we ran an AI immersion day, which the CEO Jim Fitterling and I co-hosted for our top 200 leaders.

Manufacturing 122

Manufacturing Cost-Benefit Digital Transformation Forecasting 122

AWS Big Data

MARCH 26, 2024

In 2022, AWS commissioned a study conducted by the American Productivity and Quality Center (APQC) to quantify the Business Value of Customer 360. The following figure shows some of the metrics derived from the study. Poor data quality can lead to such situations, and ultimately results in customer churn.

Data Strategy 94

Data Strategy Strategy Data Warehouse Prescriptive Analytics 94

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

IBM Big Data Hub

DECEMBER 4, 2023

This phase of planning also covers projected project milestones and well-defined metrics for the system once it goes live. Specifically, to ensure the accuracy of data, organizations should test the following variables: Data archive: Make sure older data that might not have been imported to Oracle is archived securely and is easy to access.

Testing 71

Testing Consulting Digital Transformation Cost-Benefit 71

DataRobot Blog

MAY 26, 2022

Out of the box, DataRobot provides a variety of different model performance metrics based on the model architecture used, and further empowers the modeler to do their own analysis by making available all model-related data through its API.

Risk 52

Risk Modeling Metrics Business Objectives 52

AWS Big Data

NOVEMBER 16, 2023

Redshift provisioned clusters also support query monitoring rules to define metrics-based performance boundaries for workload management queues and the action that should be taken when a query goes beyond those boundaries. A predicate consists of a metric, a comparison condition (=, ), and a value.

Enterprise 110

Enterprise Data Warehouse Snapshot Cost-Benefit 110

IBM Big Data Hub

DECEMBER 20, 2023

What metrics need to be improved? Infrastructure: Determine where your AI systems will be hosted and how they will be scaled. Review the size and strength of the IT department, which will implement and manage AI systems. Interview department heads to identify potential issues AI could help solve.

Strategy 71

Strategy Business Objectives Cost-Benefit Consulting 71

Alation

MAY 31, 2023

If you’re not familiar with DGIQ, it’s the world’s most comprehensive event dedicated to, you guessed it, data governance and information quality. This year’s DGIQ West will host tutorials, workshops, seminars, general conference sessions, and case studies for global data leaders.

Data Governance 52

Data Governance Insurance Metadata Data-driven 52

CIO Business Intelligence

JANUARY 4, 2023

Recently members of our community came together for a roundtable discussion, hosted by Dell Technologies, about trends, trials, and all the excitement around what’s next. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).

Cost-Benefit 59

Cost-Benefit Machine Learning Uncertainty Modeling 59

Alation

OCTOBER 28, 2021

To make good on this potential, healthcare organizations need to understand their data and how they can use it. This means establishing and enforcing policies and processes, standards, roles, and metrics. Why Is Data Governance in Healthcare Important? Healthcare data is valuable and sensitive, so it must be protected.

Data Governance 52

Data Governance Measurement Metrics Data Quality 52

The Unofficial Google Data Science Blog

JULY 18, 2023

Once we’ve answered that, we will then define and use metrics to understand the quality of human-labeled data, along with a measurement framework that we call Cross-replication Reliability or xRR. Last, we’ll provide a case study of how xRR can be used to measure improvements in a data-labeling platform.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Occam's Razor

SEPTEMBER 21, 2015

When you are presenting, to an audience of 3 or 3,000, your goal should be to get the data out of the way as fast as you can, so that you can move to the so what conversation. Or, any host of issues? Simplify… let the data be the hero… The legend usually works best at the bottom. Or, the legend is the sub-title.

Visualization 161

Visualization Key Performance Indicator Slice and Dice Strategy 161

DataRobot Blog

DECEMBER 20, 2022

This usually involved gathering market and property information, socio-economic data about a city on a zip code level and information regarding access to amenities (e.g., You can understand the data and model’s behavior at any time. parks and restaurants), and transportation networks. Rapid Modeling with DataRobot AutoML.

Management 59

Management Machine Learning Optimization Modeling 59

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. This is the same for scope, outcomes/metrics, practices, organization/roles, and technology. Check this out: The Foundation of an Effective Data and Analytics Operating Model — Presentation Materials.

Analytics 64

Analytics Measurement Data-driven Modeling 64

Jim Harris

APRIL 20, 2021

OCDQ Radio is an audio podcast about data quality and its related disciplines, produced and hosted by Jim Harris. Why does no one care about poor data quality? tolerance for poor data quality). tolerance for poor data quality).

Data Quality 59

Data Quality Data Governance Data Processing Metrics 59

CIO Business Intelligence

MARCH 18, 2024

Our data team uses gen AI on Amazon cloud to explore sustainability metrics. Though a multicloud environment, the agency has most of its cloud implementations hosted on Microsoft Azure, with some on AWS and some on ServiceNow’s 311 citizen information platform. AI tools rely on the data in use in these solutions.

Risk 133

Risk Cost-Benefit Data Processing Testing 133

datapine

MAY 17, 2021

Studies suggest that 79% of enterprise executives believe that companies that do not leverage big data in the right way will lose their competitive position and could ultimately face extinction. Moreover, 83% of executives have pursued big data projects to gain a competitive edge. click to enlarge**. 5) Have advanced chart options.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

datapine

FEBRUARY 22, 2022

Clean data in, clean analytics out. Cleaning your data may not be quite as simple, but it will ensure the success of your BI. It is crucial to guarantee solid data quality management , as it will help you maintain the cleanest data possible for better operational activities and decision-making made relying on that data.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. In this way, data governance is the business or process side. So what’s the outcome of data governance at the consumption level?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

AWS Big Data

DECEMBER 4, 2024

Domain ownership recognizes that the teams generating the data have the deepest understanding of it and are therefore best suited to manage, govern, and share it effectively. This principle makes sure data accountability remains close to the source, fostering higher data quality and relevance.

Metadata 104

Metadata Data Governance Data Quality Data-driven 104

Alation

JULY 6, 2021

Automated governance tracks data lineage so users can see data’s origin and transformation. Auto-tracked metrics guide governance efforts, based on insights around data quality and profiling. This empowers leaders to see and refine human processes around data. Data Quality.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Alation

NOVEMBER 23, 2021

However it’s defined, data governance is among the hottest topics in data management. Organizations are governing data already, simply informally. Organizations don’t need to spend a lot of money to get data governance. What organizations actually govern is data-consumer behavior, and not the data itself.

Data Governance 52

Data Governance Data-driven Data Processing Consulting 52

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. where performance and data quality is imperative? Tools there are a plenty.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

CIO Business Intelligence

JANUARY 20, 2023

Truly data-driven companies see significantly better business outcomes than those that aren’t. According to a recent IDC whitepaper , leaders saw on average two and a half times better results than other organizations in many business metrics. So in order to make data accessible to all, new tools and technologies are required.

Data Lake 135

Data Lake Data-driven Finance Data Architecture 135

Jet Global

OCTOBER 26, 2023

If your finance team is using JD Edwards (JDE) and Oracle E-Business Suite (EBS), it’s like they rely on well-maintained and accurate master data to drive meaningful insights through reporting. For these teams, data quality is critical. Ensuring that data is integrated seamlessly for reporting purposes can be a daunting task.

Data Quality 52

Data Quality Reporting Operational Reporting Finance 52