Sat.Jul 21, 2018 - Fri.Jul 27, 2018

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The Impact Matrix | A Digital Analytics Strategic Framework

Occam's Razor

The universe of digital analytics is massive and can seem as complex as the cosmic universe. With such big, complicated subjects, we can get lost in the vast wilderness or become trapped in a silo. We can wander aimlessly, or feel a false sense of either accomplishment or frustration. Consequently, we lose sight of where we are, how we are doing and which direction is true north.

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What is machine learning?

IBM Big Data Hub

A 101 article on machine learning.

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Defining data science in 2018

Data Science and Beyond

I got my first data science job in 2012, the year Harvard Business Review announced data scientist to be the sexiest job of the 21st century. Two years later, I published a post on my then-favourite definition of data science , as the intersection between software engineering and statistics. Unfortunately, that definition became somewhat irrelevant as more and more people jumped on the data science bandwagon – possibly to the point of making data scientist useless as a job title.

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BI Buyers Look For End-To-End Platforms — Qlik Acquires Podium Data

Boris Evelson

Qlik, a Leader in our recent Forrester Wave™ evaluation on business intelligence (BI), has acquired Podium Data, a Contender in our big data fabric Wave. In a humble opinion of yours truly, this is further proof of a trend showing that BI buyers are increasingly seeking end-to-end platforms and solutions, rather than separate BI/ETL components that need […].

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Time to Value: The Currency of Data Operations

Bruno Aziza

How DataOps is helping businesses accelerate time to value and deliver more satisfied consumers.

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Ten expert tips for visual data science

IBM Big Data Hub

Data science and machine learning provide the basis for business growth, cost and risk reduction and even new business model creation -- but implementing predictive analytics does present some challenges. IT Central Station members have shared tips that help organizations overcome the challenges in effective data preparation, model development and training.

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A Use Case For Business Intelligence Vs. Text Analytics Tools

Boris Evelson

I recently answered a client question regarding an application that could be based on either business intelligence (BI) or text analytics technology. Question: “We receive quarterly and yearly account statements for our investments. Each statement will contain key pieces of information, such as total contributions, expenses, interest income, etc.

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Power BI for Grownups

Paul Turley

The message from the Microsoft Business Applications Summit this week was very clear: Power BI is growing up. We have known for a while that Power BI is a great front-end tool for enterprise-scale tabular and multidimensional models.

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What is Smart Data Visualization and Can it Make Business Users Smarter?

Smarten

Smart Data Visualization can radically improve your business intelligence, data discovery and analytics. It can streamline the work process of business users, improve the accuracy of planning and forecasting and ensure better, more timely, more accurate business decisions. What is Smart Data Visualization? Smart Visualization tools allow users to gather various data components and tell a story.

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IDG Contributor Network: Lessons enterprise service management professionals can learn from the FIFA World Cup

CIO Business Intelligence

The past few weeks the FIFA World Cup soccer has been a huge topic of conversation within our offices, conversations made all the more lively based on the fact that our colleagues work in offices all over the world, many of them in countries that were well represented by teams during the tournament. So after having flags up throughout the office and various viewing parties, it struck me that there are some service management lessons we can learn from all of this hoopla.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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New eBook Explores Impact of IoT, AI, and Automation on Manufacturing

Nutanix

Manufacturing organizations often join us in our Executive Briefing Center (EBC) to learn how Nutanix Enterprise Cloud can help modernize their infrastructure. We value the opportunity to hear about their vision and the challenges they face.

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Advanced Analytics Software for All Users!

Smarten

Self-Serve Data Discovery Tools Must be Sophisticated Yet Easy to Use! Self-Serve advanced analytics and data discovery software is an important competitive tool in today’s rapidly changing environment. Data resides in a lot of places within the organization and access to that data in an intuitive, integrated environment is important. Equally important is the democratization of that data so that business users can easily access the Advanced Analytics Software and use augmented data discove

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Data Governance and Self-Serve Data Discovery Tools!

Smarten

Data Discovery Tools and Data Governance: A Dynamite Combination! If your organization is planning to implement advanced analytics tools or to democratize the use of data discovery tools, your IT staff and senior management are probably concerned about losing control of data access and about data security. Data governance is a real concern and it should not be minimized but there is no reason to change course and decide against data democracy just to accommodate data governance.