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Building High-Impact Teams and Data-Driven Decisions in Product Management with Abner Rosales 

Productside

For product managers aiming to lead teams or aspiring professionals curious about risk management and data strategy, this episode offers actionable advice and real-world stories to guide your career growth. Making Smart, Data-Driven Decisions Decision-making can make or break your product, especially when data is involved.

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Product in Practice: Iterating on Outcomes with Limited Data

Product Talk

Bluestone Analytics, where Thomas works, offers a range of solutions related to data and analysis. Describing the product he’s responsible for, Thomas says, “My product squad owns presenting that data in a way that will make it easier for you to find the clues you’re looking for. Click the image to see a larger version.

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Leveraging data across the product lifecycle 

Mind the Product

Effectively leveraging diverse data types at each stage of the product lifecycle enhances stakeholder alignment and drives product success. Read more » The post Leveraging data across the product lifecycle appeared first on Mind the Product.

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Why Startup Pivots Fail… Even with Data

Piyanka Jain

They hesitated to make drastic changes without solid data backing them up. But good data-driven decision-making isn’t highly uncommon. So here’s how Brikker would use the BADIR data analysis framework to overcome all the reasons startup pivots fail. They’ll use data to solve these issues without considering the big picture.

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Modern Data Architecture for Embedded Analytics

Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. Expert guidelines for a high-performance, analytics-ready modern data architecture.

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Bridging the gap between data, product, and analytics 

Mind the Product

Learn how to build impactful data products with a clear end-goal approach, ensuring robust engineering, collaboration, and a product-oriented mindset for solving business problems. Read more » The post Bridging the gap between data, product, and analytics appeared first on Mind the Product.

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The analytics alchemy : Transforming product through data

Mind the Product

With data the driving force behind the decision-making and sustainable development of a product, all product managers need to be data savvy. Ishita Choudary provides an introduction Read more » The post The analytics alchemy : Transforming product through data appeared first on Mind the Product.

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6 Steps to More Streamlined Data Modeling

Discover a streamlined methodical approach to Apache Cassandra® data modeling. Are you a developer, database architect, or database administrator that's new to Cassandra, but been tasked with developing a plan for implementing the technology anyway? Worry no more.

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4 Approaches to Data Analytics

The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data.

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Solving Open Source Complexity with a Managed Data Infrastructure Platform

With its unparalleled flexibility, rapid development and cost-saving capabilities, open source is proving time and again that it’s the leader in data management. But as the growth in open source adoption increases, so does the complexity of your data infrastructure.

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Using Data & Analytics for Improving Healthcare Innovation and Outcomes

In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. The complexity of healthcare data, the need for real-time analytics, and the demand for user-friendly interfaces can often seem overwhelming.

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An Architect’s Guide for Selecting Scalable, Data-Layer Technologies

There’s no getting around it: selecting the right foundational data-layer components is crucial for long-term application success.

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What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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10 Rules to More Streamlined Data Modeling

Apache Kafka is a powerful piece of software that can solve a lot of problems. Like most libraries and frameworks, you get out of it what you put into it. Learn 10 rules that will help you perfect your Kafka system to get ahead.