Articles
Tag: joanna schloss
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Take the Hybrid Road to Digital Excellence
Technology transformation doesn’t happen overnight, regardless of what vendors might like you to believe.
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How to Keep Your Digital Transformation Projects From Losing Steam
It's time to take stock of how you’re progressing (or not progressing) against the digital transformation goals you laid out at the start of the year.
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The Oft-Forgotten Fundamentals of Digital Transformation
Overlooked fundamentals will take the legs out from under even the best-laid digital transformation plans.
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4 Mistakes to Avoid on the Path to Digital Transformation
If virtually every business in the world is consumed with transforming for the digital era, why are so many still struggling to do so?
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5 Resolutions for a Digitally Excellent 2019
Five resolutions to accelerate your business's journey down the road to digital excellence.
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Digital Transformation Will Create Profound New Mandates in 2019
While digital transformation isn't exactly new, 2019 will mark the year we start seeing our efforts come to fruition on a wide scale.
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The Hybrid Future of Analytics
Should you keep analytics systems in-house or move them to the cloud? When you consider cost, security, performance and manageability, the answer is a hybrid approach.
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Even the Best Analytic Method Will Fail if You Don't Break Down Silos
Last month, we discussed the different forms of data analysis and their applicability across different organizations and different uses cases. Understanding the landscape of available data analytics methods and determining which tools are appropriate for various projects and use cases is critical to succeeding with your analytics initiatives. Define the Questions and Break Down the Silos For most
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Why Real-Time Analytics Is No Longer a 'Thing'
We, as an industry, need to retire our obsession with “real-time,” “near real-time,” “speed-of-thought” and every other time-specific type of analytics. The demand for accurate, real-time data analysis spawned a feeding frenzy of analytics product design and shaped the entire market. Yet the evolution of analytics technology and the acceptance of "good-enough" analytics as being more than good enough turned
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When 'Good Enough' Analytics Is More Than Good Enough
In today’s tidal storm of data, we are constantly combating analysis paralysis. We invest so much time into analyzing, evaluating and validating data-driven decisions, and not enough time taking action with it. We need to rethink the way we make decisions and let go of analytics perfection.
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Are You Ready for These Big Data Trends?
2017 will see some major changes in the big data ecosystem, driven in part by two trends. Both trends offer opportunities for data-driven organizations to stay ahead of the curve — but only if they take the time to do some preparation now. 1. Hadoop Gets Put to the Test – Here's How to Help It Pass Apache Hadoop distribution vendors have crossed the
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Let's Resolve the Data Analytics Conflict in 2017
Business intelligence and big data have an unresolved conflict. 2016 was slated to be the year that big data projects finally delivered on the promises of profitability. Yet, 12 months later we’re still sitting on piles and piles of data as big data solutions languish in the corner.
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This Secret Formula Will Make You an Analytics Superhero
After you’ve built the business case for how to solve your company’s big data analytics problem, you may be left wondering if proposing data analytics software will make your role obsolete. Never fear, what you propose will make you an analytics hero and an invaluable part of your company.
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Choosing a Data Analytics Solution: Which One is Right For You?
The data analytics marketplace can at times look like an obstacle course. With so many vendors claiming to have the right tool for the right problem — which is nearly every problem — it can get noisy and confusing.
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