Data Related Topics 
Piyanka Jain
SEPTEMBER 13, 2024
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.
Mind the Product
SEPTEMBER 17, 2024
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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Mind the Product
AUGUST 20, 2024
pplying a product management mindset to data products can unlock valuable insights and drive business growth in the age of AI and big data. Read more » The post Lessons from building data products appeared first on Mind the Product.
280 Group
OCTOBER 17, 2024
If you’re unfamiliar, it tells the story of Billy Beane, the Oakland A’s general manager, and how he built a winning team on a limited budget using data-driven decisions. The post Mastering Prioritization: Finding the Balance Between Data and Intuition appeared first on Product Management Courses | Productside.
Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)
Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role.
Mind the Product
AUGUST 8, 2024
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.
280 Group
OCTOBER 17, 2024
If you’re unfamiliar, it tells the story of Billy Beane, the Oakland A’s general manager, and how he built a winning team on a limited budget using data-driven decisions. Introduction As the Major League Baseball postseason heats up, I’ve been reflecting on one of my favorite movies, Moneyball. He focused on stats that traditional scouts.
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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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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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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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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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The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Understanding these trends is not only essential to staying ahead of the curve, but critical for those striving to remain competitive and innovative in an increasingly data-driven world.
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There’s no getting around it: selecting the right foundational data-layer components is crucial for long-term application success.
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In the fast-moving manufacturing sector, delivering mission-critical data insights to empower your end users or customers can be a challenge. Traditional BI tools can be cumbersome and difficult to integrate - but it doesn't have to be this way.
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