CIO
DECEMBER 13, 2022
Recently, chief information officers, chief data officers, and other leaders got together to discuss how data analytics programs can help organizations achieve transformation, as well as how to measure that value contribution. This is when data analytics programs deliver their greatest value. Arguing with data?
TechCrunch
DECEMBER 21, 2022
So, I’ve put together three main strategies to put you on the path to fully digitizing your business and noticeably improve the closing process. Data analytics on the health and status of the month-end close. These investments result in financial and operational growth, offering greater analytics and aiding the decision-making process.
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CIO
NOVEMBER 9, 2022
One potential solution to this challenge is to deploy self-service analytics, a type of business intelligence (BI) that enables business users to perform queries and generate reports on their own with little or no help from IT or data specialists. But there are right and wrong ways to deploy and use self-service analytics.
CIO
NOVEMBER 22, 2022
Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.
Speaker: Nils Davis, Principal, NPD Associates
But do you have a strategy? Strategy and goals are different. It's your strategy that allows you to make decisions that help you meet your goals in the first place. If you want to have an articulated strategy that you can use to make decisions, stay on-track, and meet your product goals, this is the webinar for you!
CIO
JUNE 23, 2023
According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.
TechCrunch
MAY 17, 2022
If you’re the founder of an e-commerce startup, there’s a pretty good chance you’re using a platform like Shopify, BigCommerce or WooCommerce, and one of the dozens of analytics extensions like RetentionX, Sensai metrics or ProfitWell that provide off-the-shelf reporting. Evolving your startup’s data strategy.
Speaker: Megan Brown, Director, Data Literacy at Starbucks; Mariska Veenhof-Bulten, Business Intelligence Lead at bol.com; and Jennifer Wheeler, Director, IT Data and Analytics at Cardinal Health
Join data & analytics leaders from Starbucks, Cardinal Health, and bol.com for a webinar panel discussion on scaling data literacy skills across your organization with a clear strategy, a pragmatic roadmap, and executive buy-in. You’re invited! Unlocking enhanced levels of value and insight from data using a semantic layer.
Speaker: Eric Feinstein, Professional Services Manager, Looker
How to evaluate embedded analytic solutions as strategy to greatly reduce initial and on-going engineering effort. Attendees will leave with an understanding of how to design reporting interfaces, and, dare we say, grow to love them. Using personas to define specific reporting requirements and a roadmap that makes sense.
Speaker: Yoav Yechiam, Founder and Head Instructor, productMBA
Analytics are highly important for product managers - and yet, analytic implementations often fail to actually help us. Analytics are there to answer important product questions, not just to collect data. How can we be mindful of our analytics so they enable us, rather than confine us?
Speaker: Wes Bush, Author of "Product-Led Growth"
As PMs, we all know the importance of building a successful product-led growth strategy. Zoom, Stripe, and Airtable are all examples of software companies with strong PLG strategies. What features do their strategies have that allow them to see continued success in this ever-changing market? But what else do they have in common?
Speaker: Anita Lauper Wood, Product Strategist
As a product or technology leader, you likely know there’s a tremendous value that can be gained from predictive analytics. That said, successful implementation of predictive analytics can feel unpredictable. There are risks that need to be consciously addressed, and successful implementation requires the right strategy.
Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale
Join this webinar panel for practical advice on how to build and foster a data literate, self-service analysis culture at scale using a semantic layer. Driving a self-service analytics culture with a semantic layer. Using predictive/prescriptive analytics, given the available data.
Speaker: Ian Thompson, Head of Business Intelligence at King, and Zara Wells, Strategic Customer Success Manager at Looker
King uses almost a competitive launch strategy for new games, as each game has a series of KPIs that it needs to meet. King’s product managers rely heavily on analyzing product features using analytics data and visualization to improve outcomes. The key is the strategy and tools for accessing product data at the level that you'd like.
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