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2) Your performance depends on your ability to consume data, while your data requirements depend on the team's ability to provide data.
3) The team depends on your ability to make smart decisions with data.
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Content personalisation is becoming more prevalent. A site, it's content and/or it's products, change dynamically according to the specific needs of the user. SEO needs to ensure we do not fall behind of this trend.
Presenter: Dheyvi Velagapudi, Substantial, Director of Design
Designing for hundreds, thousands, or millions of people is a high stakes game where data provides us the safety and drive to make sure our work doesn’t fall short. But when we only look at the numbers, we’re eliminating one of the key things that helps us innovate and design greater – our creativity. So, how did we get here and how do we take back the ability to be creative in a world obsessed with data?
Content personalisation is becoming more prevalent. A site, it's content and/or it's products, change dynamically according to the specific needs of the user. SEO needs to ensure we do not fall behind of this trend.
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Although analyzing “big data” has the power to transform your business, the ease of doing so has been over-stated. In reality, harnessing big data is still a messy and labor-intensive business. We are incredibly excited by what we can do with data but also think some of the hype is doing brands a disservice, because it creates a false expectation of how easy this work is going to be. Most things in life that are important and worthwhile are difficult, and the analysis of Big Data is no different. Don’t believe these commonly heard myths…
1. Sepa exactamente de donde provienen sus datos.
2. Asegure que todos en la organización comparten los mismos datos, con un acceso fácil y libre de complejidades.
3. Gobernabilidad de la información: mantenga a su equipo capacitado en procesos simples y transparentes.
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The proliferation of mobile computing and social media has led to enterprises having to deal with large amounts of data of varying types. Here is how organizations can incorporate big data to reap its benefits.
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Fully embracing a BI tool can mean the difference between the full payoff of your data analytics and returns that are just so-so. Learn how to avoid BI pitfalls and boost BI adoption to become a truly data driven organisation.
A data monetization framework from Accenture Interactive. Three questions your company should answer to start realizing revenue opportunities from your data.
Customer Success sits at the center of a company’s data web. But data challenges exist! It’s time to break through all data roadblocks standing in your way.
CG Data & Analytics Practice Lead, Michael Goodman, shares his perspective on overcoming data obstacles to grow the business. This presentation was given as a part of a webinar on September 16th, sponsored by Bank Systems & Technology and Informatica.
Although analyzing “big data” has the power to transform your business, the ease of doing so has been over-stated. In reality, harnessing big data is still a messy and labor-intensive business. We are incredibly excited by what we can do with data but also think some of the hype is doing brands a disservice, because it creates a false expectation of how easy this work is going to be. Most things in life that are important and worthwhile are difficult, and the analysis of Big Data is no different. Don’t believe these commonly heard myths…
1. Sepa exactamente de donde provienen sus datos.
2. Asegure que todos en la organización comparten los mismos datos, con un acceso fácil y libre de complejidades.
3. Gobernabilidad de la información: mantenga a su equipo capacitado en procesos simples y transparentes.
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This presentation was adapted from content and spired by by Eva-Marie Muller-Stuler, my friend and fellow IBMer. Learn the secret sauce of becoming a data scientist, including the soft & hard skills necessary to be successful in your data science career journey.
How Enterprises Can Incorporate Big Data And AnalyticsPromptCloud
The proliferation of mobile computing and social media has led to enterprises having to deal with large amounts of data of varying types. Here is how organizations can incorporate big data to reap its benefits.
People, process, platform, presented by Adam SingerSocialMedia.org
In his Brands-Only Summit Pre-Conference presentation, Google's Adam Singer shares how to build a smart, flexible analytics organization.
He talks about how getting the right people, implementing the right processes, and using the right technology platform will help you stay current in measuring marketing and sales performance.
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In this webinar, Jeff will cover the pros and cons of NerdWallet’s embedded research structure, their learnings on working with product designers and PMs, as well as the toolkit of techniques they have developed to maximize speed and insights.
Fully embracing a BI tool can mean the difference between the full payoff of your data analytics and returns that are just so-so. Learn how to avoid BI pitfalls and boost BI adoption to become a truly data driven organisation.
A data monetization framework from Accenture Interactive. Three questions your company should answer to start realizing revenue opportunities from your data.
Customer Success sits at the center of a company’s data web. But data challenges exist! It’s time to break through all data roadblocks standing in your way.
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