Cloudera

FEBRUARY 16, 2022

We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle. So, we have workspaces, projects and sessions in that order.

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

Alation

APRIL 25, 2023

Many governance leaders have found success tracking critical tasks, like number of articles curated or data assets cleaned. Those seeking to make a strong case for efficiency to business leadership might also consider a comparison metric that shows how much time is saved on data discovery and understanding after a data governance initiative.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Jet Global

OCTOBER 2, 2019

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. So how is the data extracted? By using Structured Query Language, or SQL, the language used to manipulate and extract data stored in cubes.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Alation

APRIL 25, 2023

Many governance leaders have found success tracking critical tasks, like number of articles curated or data assets cleaned. Those seeking to make a strong case for efficiency to business leadership might also consider a comparison metric that shows how much time is saved on data discovery and understanding after a data governance initiative.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

AWS Big Data

MARCH 26, 2024

The following figure shows some of the metrics derived from the study. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. Organizations using C360 achieved 43.9% reduction in sales cycle duration, 22.8%

Data Strategy 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

AWS Big Data

FEBRUARY 21, 2023

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. What is a dimensional data model? What is a dimensional data model? What is a data vault?

Data Warehouse 67

Data Warehouse Data Lake Cost-Benefit Modeling 67

CIO Business Intelligence

JANUARY 20, 2023

Improved employee satisfaction: Providing business users access to data without having to contact analysts or IT can reduce friction, increase productivity, and facilitate faster results. The potential use cases for BI extend beyond the typical business performance metrics of improved sales and reduced costs.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

AWS Big Data

NOVEMBER 15, 2023

The difference lies in when and where data transformation takes place. In ETL, data is transformed before it’s loaded into the data warehouse. In ELT, raw data is loaded into the data warehouse first, then it’s transformed directly within the warehouse.

Dashboards 99

Dashboards Analytics Metadata Data Warehouse 99

Cloudera

JUNE 17, 2022

In the second blog of the Universal Data Distribution blog series , we explored how Cloudera DataFlow for the Public Cloud (CDF-PC) can help you implement use cases like data lakehouse and data warehouse ingest, cybersecurity, and log optimization, as well as IoT and streaming data collection.

Cost-Benefit 88

Cost-Benefit IoT Data Warehouse Manufacturing 88

Occam's Razor

JANUARY 30, 2012

When it comes to data analysis, you are usually more likely to see me share guidance on advanced segmentation or custom reports or advanced social metrics or controlled experiments or economic value or competitive intelligence or web analytics maturity or one of an infinite number of difficult, if hugely rewarding, things. Not today.

Analytics 145

Analytics Dashboards Metrics Key Performance Indicator 145

Domino Data Lab

JULY 22, 2019

The data governance, however, is still pretty much over on the data warehouse. Toward the end of the 2000s is when you first started getting teams and industry, as Josh Willis was showing really brilliantly last night, you first started getting some teams identified as “data science” teams.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Birst BI

JUNE 18, 2018

Read Gartner’s latest research, “Doing Machine Learning Without Hiring (More) Data Scientists,” which carves out four recommendations for organizations wishing to launch data science initiatives. We rely on data and analytics to assist in all three areas.

Slice and Dice 76

Slice and Dice Machine Learning Sales Data-driven 76

Cloudera

JANUARY 11, 2018

Cloudera often partners with these companies to define the desired path, set reasonable milestones and success metrics, and aide solution design. “Bringing together as much of this data and information as possible will help organizations gain a richer, more detailed picture of customers. ” And teases at the reward.

Strategy 40

Strategy Data Warehouse Cost-Benefit Marketing 40

datapine

AUGUST 29, 2022

Whether you are a complete novice or a seasoned BI professional, you will find here some books on data analytics that will help you cultivate your understanding of this essential field. Before we delve deeper into the best books for data analytics, here are three big data insights to put their relevance and importance into perspective.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Occam's Razor

MARCH 23, 2010

Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. Because every tool uses its own sweet metrics definitions, cookie rules, session start and end rules and so much more. Metrics like: Multi channel value index. our measurement strategies 2.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Alation

FEBRUARY 8, 2022

Middlemen — data engineering or IT teams — can’t possibly possess all the expertise needed to serve up quality data to the growing range of data consumers who need it. As data collection has surged, and demands for data have grown in the enterprise, one single team can no longer meet the data demands of every department.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Occam's Razor

OCTOBER 19, 2010

If after rigorous analysis you have determined that you have evolved to a stage that you need a data warehouse then you are out of luck with Yahoo! If you can show ROI on a DW it would be a good use of your money to go with Omniture Discover, WebTrends Data Mart, Coremetrics Explore. Mongoose Metrics ~ ifbyphone.

Analytics 135

Analytics Testing Measurement Optimization 135

Domino Data Lab

FEBRUARY 4, 2019

These two points provide a different kind of risk management mechanism which is effective for science, specifically data science. Of course, some questions in business cannot be answered with historical data. Instead they require investment, tooling, and time for data collection.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Smart Data Collective

JUNE 6, 2021

If your company revolves around the manufacturing of goods or services, for example, big data can aid you in the development of your products. This can be done through the analysis of previous product success as well as the data collected from test markets and/or social groups that may dictate what commercial offerings are best received.

Big Data 132

Big Data Data Analytics Analytics Cost-Benefit 132

DataKitchen

JUNE 24, 2021

Previously we would have a very laborious data warehouse or data mart initiative and it may take a very long time and have a large price tag. GE formed its Digital League to create a data culture. Chapin also mentioned that measuring cycle time and benchmarking metrics upfront was absolutely critical. “It

ROI 211

ROI Metrics Measurement Cost-Benefit 211

datapine

FEBRUARY 22, 2022

This should also include creating a plan for data storage services. Are the data sources going to remain disparate? Or does building a data warehouse make sense for your organization? Businesses deal with massive amounts of data from their users that can be sensitive and needs to be protected. Define a budget.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Jet Global

JUNE 30, 2021

A chief executive officer (CEO) key performance indicator (KPI) or metric is a relative performance measure that a CEO will use to make informed decisions. By monitoring financial, operational, and staffing metrics, a CEO is able to identify the strengths and weaknesses of a company and leverage these to their advantage.

Metrics 106

Metrics KPI Dashboards Advertising 106

Alation

AUGUST 26, 2021

Data intelligence first emerged to support search & discovery, largely in service of analyst productivity. For years, analysts in enterprises had struggled to find the data they needed to build reports. This problem was only exacerbated by explosive growth in data collection and volume. Data lineage features.

Metadata 64

Metadata Data Governance Dashboards Software 64

Jet Global

NOVEMBER 15, 2021

A Tax Key Performance Indicator (KPI) or metric is a clearly defined quantifiable measure that an organization, or business, uses to measure the success of its Tax Function over time. Since every organization has its own manner of operation, the KPIs or metrics used for tax will vary from one organization to another.

Metrics 52

Metrics Reporting KPI Risk Management 52

Jet Global

NOVEMBER 2, 2021

They are often used to get a bird’s eye view of performance and are also known as metrics. University KPIs and metrics will help these education institutions direct their policy formulation and target setting. Effective Data Collection. The most important aspect of good education KPIs lies in effective data collection.

Metrics 52

Metrics Reporting KPI Key Performance Indicator 52

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. 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

Jet Global

MARCH 22, 2023

By leveraging technology that automates tax data collection and processing, your team can produce more accurate reports, reduce risk, and free up time to focus on more strategic initiatives. Generate custom reports based on key metrics and strategic goals for your company.

Reporting 52

Reporting Software Risk Enterprise 52

Jet Global

DECEMBER 20, 2021

In fact, top-down budgeting is relatively fast and efficient because it requires less up-front data collection and analysis. However, they can sometimes be overly simplistic when compared to a more intentional “bottom-up” approach. While this might work well for startups, it lacks many of the benefits of a capex planning solution.

Software 52

Software Recreation/Entertainment ROI Finance 52

Jet Global

MAY 1, 2023

As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. Let’s just give our customers access to the data. You’ve settled for becoming a data collection tool rather than adding value to your product. Let them do what they want outside of the application.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

APRIL 3, 2024

With the complexities of consolidation being both time-consuming and intricate, the decision to migrate to the cloud isn’t a matter of ‘if’ but ‘when’ Cloud solutions offer centralized data management, eliminating scattered spreadsheets and manual input, ensuring consistent and accurate data organization-wide.

Reporting 52

Reporting Cost-Benefit Software Forecasting 52

Jet Global

AUGUST 9, 2023

Many of the same issues arise in the downstream activities that the finance team performs – including the generation of operational reports, KPI metrics, and financial statements. You’re able to standardize your data and processes, which allows for automated calculations and reporting with improved internal controls.

Finance 52

Finance Reporting Cost-Benefit Forecasting 52

Jet Global

MARCH 4, 2024

Built on proven technology trusted by thousands, it delivers investor-grade data with robust controls, audit trails, and security. Enjoy a modular approach, starting with data collection or reporting based on your needs. Need quarterly reporting with in-depth metrics? Let us be your finger on the pulse.

Reporting 52

Reporting Data-driven Software Risk 52