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Analytics: Meaning different things to different people

"Analytics is often held up as a killer app for allowing data to be used and visualised by everyone.'
. . .
"Modern data analytics platforms act like a prism, separating a constant stream of data into different colours or views."
. . .
"You may want to analyse and visualise the same data from a number of different perspectives e.g. security, IT, customer, mobile, process."
. . .
"The underlying data is often the same but you need to look at it through a modern data platform to see all the facets of that data and hence extract the maximum value for your business."
. . .
"It often abstracts underlying complexity into data visualisation and analytics."

#DataVisualisation #Analytics

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Notes from a keynote address by bestselling author Jim Collins

The creativity of great leaders is inspired by data-driven insights.

"Great leadership begins with the right people, and then building a culture that can deal with the shocks of the environment.  And the most important managerial skill is picking the right people and putting them in the right seats.  So what does it take to lead in these times of turmoil? Greatness generally comes not from charisma, but character, choices and consistency over the long term.  So for great leadership, the most important characteristics to have are the humility and will associated with “Level 5” Leadership ambition, in addition to a 3-way combination of:

- Fanatical discipline,
- Empirical creativity,
- Productive paranoia.

One key linkage I made is with the point about emprirical creativity. It's the handmaiden of analytics.  And it seems that great leaders' fondness for analytics means that they make confident decisions and they also ask great questions.  When I think about great leaders, it's the thoughtful curiosity and engagement in the form of the questions they ask that stand out for me.  Think about strong leaders in your organization - what makes them great?"

#Analytics   #BuildResilience   #DecisionMaking   #DriveInnovation   #Managers    #creativity   #leadership   #culture  

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How to make an organisation-wide digital transformation project a success still remains elusive for many

"Digital transformation can be viewed holistically as the confluence of SMAC (social, mobile, analytics and cloud) technologies, cutting through business processes, enabling agile & secure infrastructure, leveraging IoT & connected devises, driven by seamless integration into (and upgrading) of current IT systems and underpinned by actionable insights for sustainable differentiation across customer experience and business efficiency."
#Social #Mobile #Analytics #Cloud #InternetofThings 
. . .
"The business efficiency theme driving digital transformation projects is all around creating differentiation for organisations through one or more of the following: helping an organisation to become more agile and responsive in its ability to identify either opportunities or to protect against threats; taking cost optimisation to the next level by further automating mundane and routine tasks that can be more efficiently handled by intelligent systems; creating better decision making powered by real-time data and insights, rather than by gut-feel and intuition; and unleashing the ability to innovate through the provision of new offerings or different business models."
#DriveInnovation #Automation #ReduceRisk #DecisionMaking 

Posted by +Daniel Durrant

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com

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Take the Guesswork Out of Talent Decisions With Big Data

Excerpts from Dave Weisbeck, Chief Strategy Officer, Visier

"Supporting and educating managers to make decisions based on data solves only part of the problem in reducing cognitive bias. The first challenge is acquiring the employee data, which often is locked in HR management systems that were never designed for analysis. This is partially because of the way that systems that store employee data have evolved into multiple silos (each function, such as compensation, learning and development, recruiting, and performance management has its own set of transactional data that typically can’t be linked with other systems)."
. . . 
"For most companies, the employee data required for this type of analysis resides not only in the HR management system, but also in many other HR systems, such as recognition, payroll, performance management, and more. Performing this analysis using a standalone, embedded analytics solution (a capability delivered within transactional business applications, such as payroll administration systems) will tell only half the story. Many of these types of solutions cannot link recognition and compensation data, for example."
. . . 
"When a new leadership position opens up, it may be tempting to begin shopping around immediately for new talent outside of the organization. But the first step is to determine who from within the organization would best fill the role: According to a study at the University of Pennsylvania’s Wharton School, external hires not only get paid more, but also receive significantly lower marks in performance reviews during their first two years on the job."
. . . 
"In-memory analytics solutions can bring all of these data silos together in one place, enabling business users to address this type of complex and critical people management issue."
. . . 
"With recent advancements in big data technologies, organizations can tap into a unified workforce data ecosystem, uncovering exciting, objective and actionable insights."

#BigData   #HumanResources   #Analytics   #Managers #DecisionMaking   #MasterData  

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Salesforce to unleash Wave - The Analytics Cloud

For all of you who were wondering if Salesforce was going to be left out of the "big data boom", Marc Benioff, a Salesforce co-founder and the company’s chief executive, has been tweeting about Wave. Here's more details from NYTimes (excerpt):

Wave is intended to create sales, service and marketing analytics, either in packaged or custom forms, which can be read on desktop and mobile devices. It is meant to stress the data within Salesforce products, but it is also possible to import third-party information from companies like Microsoft, SAP and Informatica, as well as machine-generated data.
. . . 
Right now, Tableau is one of the few notable companies making it easier to visualize data. Given the millions of customers using Salesforce, in other words, it is the kind of thing that could attract independent software developers to build products on it.
. . . 
"It’s been quite a while since we announced a new market this big,” Mr. Dayon [Alex Dayon, the president of products at Salesforce] said. “Analytics is a $42 billion industry, and people need a new cloud-based platform for it.”

#BigData   #Sales   #Analytics   #Cloud   #DataVisualisation   #GrowIncome  

Posted by +Dan Durrant with +David Pidsley 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com

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Gartner lays out its top 10 tech trends for 2015

1: Computing Everywhere.
2: The Internet of Things (IoT)
3: 3D printing
4: Advanced, Pervasive and Invisible Analytics
5: Context Rich Systems.
6: Smart Machines
7: Cloud and Client Computing
8: Software Defined Applications and Infrastructure
9: Web-Scale IT
10: Security

#Security #InformationTechnology #Cloud #FutureTechnologies #Analytics #InternetofThings

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In 2011 IBM's Watson technnology was predicted to revolutionize education industry 

Citation: [According to the] Tech Trends Report surveyed more than 4,000 Information Technology (IT) professionals from 93 countries and 25 industries who provided their views on future IT trends. The results also show a growing need for technical skills in the areas of social business, mobile computing, business analytics and cloud computing.
. . .
The IT professionals surveyed identified Watson’s analytics capabilities as key to adapting customized learning plans for students, equalizing resources for remote areas and changing the approach academics use to solve problems and enable creative thinking. Survey respondents also identified Watson's ability to quickly analyze large volumes of data, as having the biggest impact on the fields of data analytics and artificial intelligence.

http://www.cio.co.ke/news/top-stories/IBM's-Watson-technnology-predicted-to-revolutionize-education-industry

#InformationTechnology   #ArtificialIntelligence   #Education   #Analytics   #Cloud  

Posted by +Dan Durrant 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com

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Uncovering the realities of today’s digital marketing landscape (whitepaper)

Citation: Sitecore recently engaged an independent research firm to conduct an international study on digital marketing trends and challenges. A few highlights:

• 73 percent of marketers plan to increase their digital marketing spend in the next year.

• In the next year, 44 percent of marketers plan to use a predictive analytics tool, but only 18 percent use predictive analytics today.

http://venturebeat.com/2014/06/04/uncovering-the-realities-of-todays-digital-marketing-landscape-whitepaper/

#Analytics   #Sales   #Marketing   #Purchasing   #PredictiveAnalytics  
Posted by +Dan Durrant

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com
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Better Data Privacy, Security and Transparency in Edu

Citation:
Fact of the matter, third-party providers — websites, games, textbooks, assessment tools, learning management systems, magazines, email, search engines, student information systems, social networks — already have a lot of student data. And that student data isn’t simply name, grade level, date of birth, grades, and/or attendance dates that we've long construed as part of the FERPA-protected "education record." Student data now includes the “data exhaust” we increasingly leave behind when we use computer-based applications — our queries, our location (via GPS or RFID), our length of time on a task or on a site, our keystroke patterns, our networked relationships. 

Many companies hoard this data — particularly the incumbents in the industry, particularly those that are hoping that big data will be "the new oil." To unlock the full potential of learning analytics, we must unlock the data. 

inBloom says that it’s mission is to help schools and teachers tap into all of this data: “Better, more integrated technology and data analytics can help by painting a more complete picture of student learning and making it easier to find learning materials that match each student’s learning needs. Unfortunately, creating the technology infrastructure to do this is often too expensive for most states and school districts.”

While “personalized learning” may be the stated goal of inBloom, it’s easy to see that this sort of data infrastructure can (and will) also be used to enable surveillance — monitoring and assessing students and in turn teachers and in turn schools. (Once again: “Technology is neither good nor bad; nor is it neutral” — Kranzberg’s first law of technology)

But such are the trade-offs we are increasingly making when it comes to living (and learning) in a digital world: to fully participate in it, to reap the (purported) benefits, we find ourselves giving up our privacy — or at least we give up control of a lot of our data. It's a matter of both consent and coercion.

That is, we hand over our data with varying levels of informed consent — we do so begrudgingly and willingly and unconsciously. We do that, we adults. And as such we must ask how well we help children make choices about their own data — ownership and privacy. We must consider what decisions we make — as parents, teachers, schools, app-makers — on their behalf. We must weigh when and why control over data rests with the institution (with schools, with districts) and when it rests with the app-maker (the big companies and the little startups) and when it rests with the individual.

#Education   #Privacy   #Security   #Transparency   #BigData   #Analytics  

Posted by +Dan Durrant 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com

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Time to bring ‘quantified self’ technology into the workplace
by Gahlord Dewald 

Citation: Many fitness apps, for example, track workouts and other aspects of our lives. That data can be used to make adjustments and improve the quality of workouts.

This technology domain is referred to as "quantified self." When we attempt to gather large data sets about our own behavior, we’re participating in quantified self technology. / aka #Lifelogging  
. . . 
What if an agent participated in a quantified self program? It could let them know what percentage of their time was spent on various activities, such as helping existing clients, communicating directly with potential clients, marketing to potential clients via social media, or whatever categories of activity are important or relevant for the business model.

Tying this data back metrics and business analytics might yield some insights into activity areas that could use more development. / #Analytics  
. . . 
The key to successful quantified self apps and implementations seems to be tied to how intrusive the system is. If it’s like the billable hours sheet, it can be resented as a form of busy work. If it’s used primarily as a form of punishment for not doing activities (with no regard to whether business objectives are being achieved), then it will be resisted.

But if it can be deployed in a way that is honest, and aimed at discovering what is working at an individual level, then somehow it turns into a game — something fun, that can also be used to identify good decisions. / #Managers  #DecisionMaking

Posted by +Dan Durrant 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com
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