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Isolated innovators

Where does innovation happen in this age of collaboration? Crowdsourcing and group brainstorming? Are we excluding the potential of individualistic introverts? No, networked communication can connect silos  without forcing open workspaces upon people who need solitude to mull insights. 

"Research strongly suggests that people are more creative when they enjoy privacy and freedom from interruption. And the most spectacularly creative people in many fields are often introverted, according to studies by the psychologists Mihaly Csikszentmihalyi and Gregory Feist. They’re extroverted enough to exchange and advance ideas, but see themselves as independent and individualistic. They’re not joiners by nature."
. . . 
"Solitude has long been associated with creativity and transcendence. “Without great solitude, no serious work is possible,” Picasso said."
. . . 
"Marcel Proust called reading a “miracle of communication in the midst of solitude,” and that’s what the Internet is, too. It’s a place where we can be alone together — and this is precisely what gives it power."

#Innovation #creativity #Collaboration #HumanResources

HT +Rotana Ty cc +David Pidsley 

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Tech to encourage and support employee engagement

"From the ubiquitous, but now updated, employee survey to social media platforms and collaboration tools, technology offers businesses a way to get staff working together, discussing the firm’s mission and bonding socially, all in ways that are quantifiable and observable by management."
. . . 
"For years, the easiest way for companies to figure out how motivated their workers were was to just ask them, usually in infrequent employee surveys or once-a-year reviews. The logic behind this is still sound, but technology now allows firms to do it continuously and less obtrusively with online platforms. Instead of a long survey at the end of the year or a one-off opportunity at the yearly appraisal, staff can give feedback daily or weekly with mini-questionnaires on platforms such as TINYPulse or even just emotional responses – a simple click on a smiley, angry or sad emoticon with software such as Morale.me or emooter. Real-time feedback like this can help companies to pinpoint any problems before they get serious, something that’s particularly useful when the issue is a minor one. If dirty coffee cups in the kitchen are enraging your staff to the point where it’s a distraction, that’s valuable information with an easy fix."

#Social   #TextAnalytics   #HumanResources   #Collaboration   #DecisionMaking   #Collaboration  

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Without Big Insight, Big Data Is Useless

The best companies link business actions back to data to discover and test insights, before taking next actions.  +David Pidsley It's all about experimentation and iteration -- agility!

"The report, titled “Digital Insights are the New Currency of Business,” was written by Forrester analysts Ted Schadler and Brian Hopkins. It analyzed the behaviors of dozens of industry incumbents along with hundreds of startups to determine which organizations are taking the most advantage of big data’s potential, and what their secrets are."
. . . 
"The companies successfully putting these ideas into practice typically use small cross-functional teams that combine business domain expertise, data science skills, engineering expertise, and software development know-how to find, test, and implement insights.

"They also employ repeatable processes that integrate data science, collaboration, governance, and agile implementation workflows. Finally, successful companies build digital insights architectures based on existing big data management and business intelligence work."

#Managers   #BigData #Collaboration   #DecisionMaking  

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Social business maturity and digital transformation

Citation: Almost by definition, any organization that undertakes business model change, a key component of digital transformation, must simultaneously find ways to encourage collaboration among various departments that previously did not work together closely. The absence of extensive communication and knowledge sharing leads to bureaucratic-style behavior, reduced efficiency in getting things done, and poor responsiveness when customers change their expectations.

#Collaboration   #Social #BuildResilience  

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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Transparency inside Organisations

Here is another view of #Transparency  that has to do with opening lines of communication within an organisation. I tend to think of this more as "Visibility", but if the communication is also public facing, then it would be closer to what I think is truly Transparent.  In any case, this kind of visibility works well when different departments have access to shared #BusinessIntelligence   #Dashboards . I appreciate these four steps for building transparency (and #Collaboration ) within your organisation:
"
1. Identify what transparency means for your company.

Transparency can mean different things depending on your industry and company. Do you have a legal department that could be more communicative? Maybe there’s one department that drowns out everyone else. See where communication breaks down, and create a plan to fix it.  

2. Get your team on board.

If your team doesn’t understand what transparency is and why it’s important, it’s not going to work. Outline the benefits of transparency and how it can directly affect each department and employee. 

3. Put it into practice.

Don’t just give lip service. Once you “go transparent,” you need to develop strategies for keeping each department informed and connected. / #Executives  

4. Show results consistently.

When sharing information such as financial projects or results, don’t just broadcast the information once. You have to make a consistent effort to make information available to reap the benefits of an open culture. 
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Adjust to the cloud: SaaS data integration steps out into the light

Citation:
...  Cloud applications and infrastructure services can be obtained with little input from IT -- sometimes with just a credit card. Ease of implementation is one thing -- the speed of cloud implementations is another, according to Noel Yuhanna, an analyst at Forrester Research in Cambridge, Mass. Outside data sources, including SaaS data created by business units and stored beyond corporate firewalls, must be made accessible more and more quickly[.] / #InformationTechnology   #Cloud  
. . .
"The future of the data management platform is going to be about access across various domains in real time," Yuhanna said. What is needed, he said, is an "information fabric" that combines central IT systems with SaaS data and information from other external sources, including much of what we've come to know as big data. / #Collaboration   #BigData   #RealTime  

Among the changes Yuhanna anticipates are more lines of business building their own data models and maintaining their own data sets, many residing in the cloud. The challenge is familiar. Data management pros need to give some rein to the departmental leaders who are close to the data and understand it well. Yet they need to fashion an enterprise data fabric generalized enough to handle widely varied data. / #Managers  

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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Entrepreneurs: Beware of Vanity Metrics

An excellent article by Eric Ries, the entrepreneur and author who pioneered the lean startup movement.

Citation:
he idea is simple. Establish baseline metrics by building the minimum viable product — the minimum required to measure the response of early adopters. Then, in each development cycle, use the insights gained by studying customers to make improvements. This is the source of validated learning — proof that the customer insights translate into tangible metrics improvements. / #Entrepreneurs    #GrowIncome   #DriveInnovation  
. . . 
This is the curse of vanity metrics, numbers which look good on paper but aren’t action oriented: website hits, message volume, or “billions and billions served.” They look great in a press release, but what do they accomplish?
. . . 
... different parts of the team are constantly “learning” in their own private reality. When those teams face difficult choices, it’s incredibly hard for them to come together and make an informed, fact-based decision. / #Collaboration   #DecisionMaking  

To avoid falling into this trap, I recommend you follow the three A’s of metrics. All metrics should be actionable, accessible, and auditable.
. . . 
I have found that most entrepreneurs — in any sized company — will readily agree that better analytics leads to better results. But how do they know when it makes sense to make infrastructure investments? / #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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Swim with the tides of change to visualize data -- and decisions

Citation mix:
Completing a three-part series on his blue ocean strategy for decision visualization, Lee Feinberg explains how you can take decision making to the next level by giving more people access to business intelligence and data visualization capabilities. / #DecisionMaking    #DataVisualisation   #BusinessIntelligence   
. . .
Have you heard of democratization of data, a trending term in business intelligence? To someone outside your company, it would seem unbelievable that data is being held captive by a central governing body. However, most organizations do, in fact, control the flow of data and provide access to it on a need-to-know basis only. But doesn't everyone in the company need to know about the business? / #Collaboration  
. . . 
Data openness is really about democratization of decision making. By allowing more people to have better and faster access to data, you foster better and faster decisions by more people -- a powerful concept that will transform organizations. A common argument against this idea is that people don't know how to use the data properly. If that's really the case, the organization needs to make significant investments to ensure that everyone properly understands their jobs and the business. / #BuildResilience  
 . . . 
Training is another key aspect of support. You might create an amazing dashboard, but don't assume that your customers will know how to use it to analyze data. It's likely that many of them have never done a true analysis; most are used to looking at a mix of charts and hoping an insight appears. Some training ideas: Make a video walking through an example analysis from the view of different users, hold lunch-and-learn sessions (everyone loves a free meal), form internal user groups. / #HumanResources  
. . . 
It's better to start with a simple set of requirements and build iteratively. By using Agile development techniques to rapidly create a product people can use to analyze and visualize data, new ideas will surface about what's most important to do next. And, by not going too far or deep with detailed specifications, it's much easier to move in a different direction and not have to defend a big investment. / #DriveInnovation   #SaveMoney

cc +David Pidsley 

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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Some of the basic benefits of #BusinessIntelligence

Citation Mix:
With today’s BI tools, business folks can jump in and start analyzing data themselves, rather than wait for IT to run complex reports. This democratization of information access helps users back up—with hard numbers—business decisions that would otherwise be based only on gut feelings and anecdotes. / #DecisionMaking   #SelfService   #InformationTechnology  
. . . 
Sharing is vital to the success of BI projects, because everyone involved in the process must have full access to information to be able to change the ways that they work. BI projects should start with top executives, but the next group of users should be salespeople. Because their job is to increase sales and because they’re often compensated on their ability to do so, they’ll be more likely to embrace any tool that will help them do just that—provided, of course, the tool is easy to use and they trust the information. / #Collaboration   #Executives   #Sales  
. . . 
A broad range of applications for BI has helped companies rack up impressive ROI figures. Business intelligence has been used to identify cost-cutting ideas, uncover business opportunities, roll ERP data into accessible reports, react quickly to retail demand and optimize prices. / #SaveMoney #GrowIncome

Besides making data accessible, BI software can give companies more leverage during negotiations by making it easier to quantify the value of relationships with suppliers and customers. / #SupplyChain   #Purchasing  

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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