Data Pine

JUNE 22, 2022

As we mention in our guide on KPIs vs metrics , not everything that can be measured needs to be measured, therefore, there are some steps you need to follow in order to avoid distracting your analysis with too many KPIs. One of the greatest challenges when building one of these systems is getting everything together for analysis.

Procurement 61

Procurement Monitoring Logistics Retail 61

Data Pine

MARCH 25, 2022

2) BI vs BA As Seen Through Football. In an article tackling BI and Business Analytics, Better Buys asked seven different BI pros what their thoughts were on the difference between business intelligence and analytics. Business Intelligence vs Business Analytics As Seen Through Football. Definition: description vs prediction.

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Procurement 105

Astera

MARCH 28, 2024

So, organizations create a data governance strategy for managing their data, and an important part of this strategy is building a data catalog. Data Catalog vs. Data Dictionary A common confusion arises when data dictionaries come into the discussion. How to Build a Data Catalog?

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Data Pine

APRIL 3, 2020

With access to an ever-growing number of digital touchpoints for connecting with peers, conducting research, and making all-important buying decisions, it’s up to today’s businesses to provide a level of service that is outstanding across the board. When considering how to build a contact center dashboard, communication is key.

Visualization 80

Visualization Digital Data Visualization Real-time Data 80

Astera

JANUARY 24, 2024

In doing so, Reverse ETL (or rETL) processes enable non-technical stakeholders to utilize formatted data for multiple purposes—including forecasting, operational decision-making, customer behavior analysis, and more. The platform focuses heavily on community-building and open-source development. What is a Reverse ETL Tool?

Data Warehouse 52

Data Warehouse Data Quality Data Management Data Security 52

Astera

SEPTEMBER 28, 2023

ETL provides organizations with a  single source of truth  (SSOT) necessary for accurate data analysis. Historical Analysis : You can use ETL for storing historical data, which is invaluable for trend analysis, identifying patterns, and making long-term strategic decisions. So, what is the difference between ETL and ELT?

Data Warehouse 52

Data Warehouse Data Quality E-Commerce Real-time Data 52

The BAWorld

NOVEMBER 22, 2021

This can be as easy as splitting name and surname with space or as complex as building an equation to predict customer churn in the next quarter. A dashboard is a collection of multiple visualizations in data analytics terms that provide an overall picture of the analysis. Exploratory Data Analysis. for accurate analysis.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Agilemania

FEBRUARY 8, 2022

Their expertise lies in building products that satisfy customer needs in the present. The Product Manager has a razor-sharp focus on building a revolutionary product. Consider the Scrum Team is to build an eCommerce portal. But what does it mean to build a payment gateway? Release PO vs. Feature PO: What’s the difference?

Agile 98

Agile Product Management Product Management Vision 98

Data Pine

NOVEMBER 15, 2022

Online data analysis tools will help you sharpen your product sense and give more weight and credibility to the decisions you make and submit to stakeholders. Businesses use several channels for the acquisition stage such as SEO, social media, blogging, emailing, and paid ads with different strategies. is essential. Retention metrics.

Product Management 56

Product Management Product Management Vision Visualization 56

Data Pine

OCTOBER 14, 2020

In essence, in this post, we will explain all the details needed for dashboard reporting and creation, compare interactive vs. static reporting, and provide tips and tricks to make your business perform even better. Interactive Dashboards vs. Static Reporting. Let’s get started. Are you sold on the power of these kinds of dashboards?

Data Visualization 94

Data Visualization Visualization Business Intelligence Business Intelligence 94

Data Pine

FEBRUARY 23, 2023

That said, the type of chart or graph you use will vary depending on the aim of the analysis. These categories will build a solid foundation that will help you pick the right visual for your analytical aims. Try our 14-day trial & benefit from visual data analysis today! Below we will discuss the graph and chart categories.

Data Visualization 71

Data Visualization Visualization E-Commerce Procurement 71

Sisense

JANUARY 21, 2021

In Building Bridges , we focus on helping end users, app builders, and data experts select and roll out analytics platforms easily and efficiently. In order to infuse customer-facing insights into their product, service, or experience effectively, product managers (PMs) will need to build rapport with their companies’ data engineers.

Embedded Analytics 95

Embedded Analytics Product Management Product Management Visualization 95

Astera

APRIL 29, 2024

This blog will discuss why data preprocessing is essential for making data suitable for comprehensive analysis. It lets you transform raw data into an understandable and usable format for analysis. Data preprocessing, while part of the preparation, is specifically focused on transforming and conditioning data before analysis.

Big Data 52

Big Data Retail Healthcare Finance 52

Userzoom

DECEMBER 18, 2019

We’re very grateful to all our readers, contributors, customers, partners and experts who made this the best ever year for UserZoom and our newly re-branded BetterUX Blog. Stakeholder buy-in. blog post]. Stakeholder buy-in. Benchmarking user experience. Democratizing UX. Participant recruitment. Product management.

User Experience 18

User Experience Banking Product Management Product Management 18

Data Pine

DECEMBER 28, 2021

Get our free checklist on ensuring data collection and analysis integrity! Statistical reliability is crucial in order to ensure the precision and validity of the analysis. Get our free checklist on ensuring data collection and analysis integrity! Exclusive Bonus Content: Download Our Free Data Integrity Checklist.

Digital 145

Digital Healthcare Data Visualization Data Mining 145

Sisense

SEPTEMBER 3, 2020

In Building Bridges , we focus on helping end-users, app builders, and data experts select and roll out analytics platforms easily and efficiently. BI & Analytics Team: For data, and ultimately insights, to be as accessible as possible, we need analysis and visualizations to be as simple as possible to find and use. Versatility.

Government 105

Government Visualization Embedded Analytics Agile 105