Machine learning can help CPG companies generate better category, brand, and market share insights. Learn how industry leaders are gaining an edge with AI.
Learn how to perform effective CPG and retail category analysis that identifies critical performance drivers and enables data-driven action.
Learn how to scale insights generation across your organization with GPUs and analytics. Faster insights help businesses take faster, more precise actions.
Advanced analytics techniques leverage AI to tackle common business problems, like insights bottlenecks, the slog of slow reporting cycles, and reactive action.
Machine learning analytics leverage the power of AI to find the story in business data. Learn more about how ML compares to traditional data analytics.
From data security to white-labeling, learn about the features you shouldn’t compromise when comparing advanced self-service analytics tools for enterprise.
With Google and Salesforce acquiring Looker and Tableau, respectively, tech companies are signaling that analytics is a hot market to drive user insights.
Augmented analytics refers to the combination of machine learning and natural language generation to automate insights. But what does that really mean?
FMCG analytics and data must respond to radical shifts in the market. Learn more about the solutions and strategies that can help you adapt to these changes.
Be thorough in your search for the right CPG data analytics platform. Use this process to guide your search and ensure you’re asking the right questions.
The CPG industry has a data overload problem. However, the businesses that take advantage of modern analytics are uniquely positioned for success. Learn more.
If you work in marketing at a CPG, you should be taking advantage of AI-powered analytics. Here are 3 strategies to help you make the most of available tech.
Syndicated data is an aggregate of retail and product data that’s collected by market research firms. Learn more about how CPGs can use this valuable data.
Watch our webinar, Using Augmented Analytics to Gain a Competitive Business Advantage, to see how augmented analytics can transform a company’s data analysis.
Top-notch analysts are among a company’s most valued employees. They can unearth insights with substantial impacts to the bottom line. See how to retain them!
The analytics landscape is shifting dramatically. After a decade of centralized reporting handled by technical specialists, we’ve entered the era of modern BI.
More and more of our professional lives are happening on mobile devices. We designed the mobile version of AnswerRocket with that “on the go” business person in mind.
When companies find a BI solution that is as immediate and easy-to-use as a smartphone camera, it unleashes the ways in which analytics is used.
Data has certainly grown in size and in prominence in the past few years. Forget big data – we’re now in the realm of gargantuan data.
At many companies, analytics are inefficient and unscalable. Most people don’t know there’s a problem. Even fewer realize there’s a simple solution.
Business teams (and racing teams) need direct access to analytics. To maintain a competitive advantage, they must make data-driven decisions.
For years, business leaders have been hearing this debate about cloud versus on-premises data and analytics from their security and IT teams. Get our advice!
What makes these consumer products so popular is how user friendly they are. They’re so easy to pick up that a user manual is barely needed.
Based on discussions with hundreds of enterprises about business intelligence and analytics, these are AnswerRockets top 9 trends for 2016.
Business intelligence has struggled to get past 25%. The arena of workforce management is no different and has likely lagged behind even these statistics.