Data Related Topics 
Business and Tech
MARCH 22, 2022
“The experience consumers expect is seamless and consistent,” says Steve Prebble, CEO of Appriss Retail , a retail software and data analysis company. “It’s But many retailers aren’t leveraging the data they collect. They’ve got siloed data, and the e-commerce and in-store teams aren’t always working together.”.
Jeffrey Phillips
JULY 11, 2023
For years now, we've heard of the importance of becoming a "data driven" organization. Being data-driven, we are told, means making decisions not based on gut instinct or what managers believe is true, but based on evidence, on hard data. So, why is it that so many companies cannot make decisions based on their data?
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Harvard Business Review
AUGUST 12, 2024
Good AI comes from good data, but data quality is an enormous organization-wide issue (and opportunity), yet most companies have neglected it.
Harvard Business Review
MARCH 26, 2024
While CDOs and data leaders are excited about generative AI, they have much work to do to get ready for it. Despite excitement, companies have yet to see clear value from generative AI and need to do significant work to prepare their data.
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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.
Harvard Business Review
MARCH 28, 2024
Many senior managers find themselves wondering: If data is such a game changer, why is it so hard to extract any value from it? For companies struggling to actually see results from their data program, it might be time to make a fresh start. 2) Many companies try to tackle issues that are too difficult straight out of the gate.
Harvard Business Review
SEPTEMBER 27, 2024
As AI becomes more integrated into business, high quality data for training AI becomes more valuable and a more important part of employees’ contribution. Companies need to navigate if and how employees will be compensated for their data, as well as questions such as who owns and controls that data.
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Storytelling is more than just data visualization. Storytelling provides an organized approach for conveying data insights through visuals and narrative. Data-driven storytelling could be used to influence user actions, and ensure they understand what data matters the most.
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Organizational data literacy is regularly addressed, but it’s uncommon for product managers to consider users’ data literacy levels when building products. Product managers need to research and recognize their end users' data literacy when building an application with analytic features.
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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: Shaunna Bruton, Danielle Wyllie, and Kailey Holmes
Customer loyalty isn’t just earned - it’s cultivated through meaningful engagement with the help of data. This webinar will take you behind the scenes of how top retailers turn customer data into personalized experiences that drive engagement and retention. 📅 September 18, 2024 at 11:00 am PT, 2:00 pm ET, 7:00 pm BST
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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.
Advertiser: ZoomInfo
Data normalization. However, if lead generation, reporting, and measuring ROI is important to your marketing team, then data normalization matters - a lot. At its core, data normalization is the process of creating context within your marketing database by grouping similar values into one common value. Why is this so essential?
Advertiser: ZoomInfo
In this report, ZoomInfo substantiates the assertion that technographic data is a vital resource for sales teams. reporting that technographic data is either somewhat important or very important to their organization. In fact, the majority of respondents agree—with 72.3%
Advertiser: ZoomInfo
That’s where your data comes in. In demand generation, data is essential for knowing who you should target and how. In this eBook, you’ll learn how to identify and target your ideal prospects — when they’re most receptive to hearing your message — using different types of data. Leveraging intent data.
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