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New on the Anticipate Change Blog: Data Storytelling for Disruptors

"Disruptive innovations have become common in these 'postnormal' times. Organisations that seek to be disruptive are fusing big data analytics with storytelling to nurture better business cultures. Narratives and data stories encourage participation in innovation. We share our recent experience and insights into data storytelling and disruptive innovation."

#AnticipateChange   #BigData   #Storytelling   #DriveInnovation   #DisruptiveInnovation   #Analysts   #SelfService  

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

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Data visualisation success hinges on solid storytelling skills

Excerpt:
Data by itself is fairly useless without solid storytelling and narrative skills, according to Jock Mackinlay. Mackinlay is director of visual analysis at Tableau. He's an alumnus of UC Berkeley and Stanford University and a veteran of Xerox PARC. He is also known for coining the term "information visualization" in his 1999 book Readings in Information Visualization: Using Vision to Think.

Accessible Storytelling
"Once you have some understanding of your data you have to tell another human. First there is analysis and then there is storytelling. And they blend back together. The classic way of doing this is traditional business intelligence (BI), but that is slow for organisations to do. There is the whole chain of data warehousing [and] getting IT to build reports. Business users should not have to find a statistician or programmer when data is becoming democratised within organisations -- who are increasingly encouraging employees at all levels to use and interpret data."
. . . 
"Data scientists are valuable but if you become dependent, then it is like being dependent on IT again. Our focus is on the data enthusiast, partly because of the nature of our technology. We want to empower the data enthusiasts so they can get along by themselves."

#Storytelling   #DataVisualisation     #SelfService     #BusinessIntelligence   #DataWarehouse   #InformationTechnology    

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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Towards the Ultimate DIY Business Intelligence Tool

Nari Kannan, CEO of appsparq, a Mobile Applications development company, writes: I have been bleating endlessly in this blog about Do-It-Yourself Business Intelligence Tools. These are sorely needed as I keep hearing endless streams of horror stories of end-users doing their own skunkworks and getting everybody, including themselves, into a heap of trouble! 
. . . 
Over and over again, I have heard different groups of users having different ideas about how they like their reports. Some like numbers displayed in a table, some need reports of long series of rows and columns, some like graphs and charts, and some like all kinds of fancy dashboards and new-fangled, new types of charts.

Separating the presentation layer in a BI tool goes a long way in achieving this. It's a great step in the right direction towards some architectural tweaks to a typical BI product so that it is flexible enough to accommodate all kinds of users!

#SelfService   #BusinessIntelligence  

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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More Data, Less Time Adding to IT Pressures

Citation Re: #Managers #BusinessIntelligence   #OnDemand  
New research from the Aberdeen Group shows 28 percent of business managers want a business intelligence (BI) report on their desk within an hour of an event. If that's not bad enough, 18 percent -- nearly one in five managers -- want that report within "minutes," the report says. Another 42 percent are content if the information find its way to them within a day.

Re: #DecisionMaking  
And that time window is narrowing. Citing a separate study that has yet to be published, Aberdeen says 64 percent of business managers "have seen their decision window shrink in the last 12 months."
. . . 
Re: #InformationTechnology   #Dashboards  
IT organizations are typically responsible for collecting the data, assembling it into usable reports, populating some charts, and delivering the results to the business managers. But simply adding a column to a BI report takes the IT department eight days on average, according to Aberdeen's survey. To build a new dashboard giving clarity on the data can take a month.

Worse, a work order for such a change generally would be added to the backlog of work facing the IT department. And the research firm reported in March that backlogs for BI projects averaged 143 days.
. . 
Re: #SelfService  
Aberdeen argues that this "self-service" approach is preferable for two reasons. First, it shifts the burden away from the IT staffers who are "so overburdened that they cannot realistically achieve this quest anyway." Second, it represents "the only hope for those managers to gain the insights they need in the time required to support their decisions." #SaveTime  

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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9 most common #BusinessIntelligence misconceptions

Gartner recently predicted that Business Intelligence (BI) and Analytics will remain a top focus for CIOs through 2017. 
. . . 
The only problem: Many businesses still don’t quite understand BI. 
. . . 
1. BI doesn’t have value -- “I believe the biggest misconception of BI by CEO’s is the belief that it doesn’t have value,” says Steve Cross, CEO of Infinite Synergy.  / #GrowIncome  
. . . 
2. BI is only for (fill in the blank) organizations with (fill in the blank) -- “Every organization can embrace effective BI targets regardless of size, budgets or tenure,” explains Sara Handel, Business Intelligence Services Lead at Excella Consulting. 
. . . 
3. Measuring data = successful BI -- “True BI uses data, collected from different sources and analyzed in different ways, to make informed decisions over time. If you are just running the same report and looking at the same numbers but aren’t actually using that information to make decisions or alter your strategies, then you aren’t doing BI.” -- Sara Handel / #DecisionMaking  
. . . 
4. BI = reports and dashboards -- "Despite the fact that reports and dashboards are standard tools of a classical BI, they do not define the value by themselves” says Sergii Shelpuk, Data Science Group Director, SoftServe. “BI is a solution for delivering the right information to the right people at the right time." / #Dashboards  
. . . 
5. More data = better BI -- “This is flat out wrong,” says Anita Andrews, VP, Client Analytics Services at RJMetrics. “The larger community is so quantity obsessed (of course it’s fun for some to solve the computational and processing problems associated with massive data sets), but it’s actually the case that if you can double your revenue with one column of data, you’d do it in a heartbeat.” / #BigData  
. . . 
6. All BI tools are the same -- "Organizations set themselves up for failure when they solely buy into the hype of a BI tool. The best tool for your team just may be the underdog,” says Takashi Binns, Senior Manager, Solutions Delivery at arcplan. / #SelfService  
. . . 
7. We need ‘big data’ for BI to be meaningful -- "Your company may not even have – and may never have a need for – big data. Business leaders can glean insight into business operations by performing various analytic techniques on their regular data to improve business processes, efficiency and profitability.” -  Takashi Binns / #SaveMoney  
. . . 
8. Business intelligence is an IT job -- “Historically, running queries and generating reports for the business team were back-office activities assigned to the IT department,” says Binns. “With little communication between these two groups, obtaining valuable information was hit or miss." / #InformationTechnology  
. . . 
9. BI Software = BI Strategy -- "While the BI software should provide timely information to support decisions, these decisions are ultimately made by humans. In addition to software, a successful BI implementation must include systematic changes to an organization’s culture, making them more data-driven. Strong cultures are identified through strong patterns of accountability which encourage and reward data-driven decision making,” says James Ficarra & Adam Rene, Senior Project Managers & Engineers at ExcelAutomationHelp.com. / #Collaobration   #HumanResources  

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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How charities can forecast effectively

Citation: "With the economic and funding climate increasingly uncertain, forecasting is more important than ever," says Tully, head of policy and public affairs at the Charity Finance Group.  / #AnticipateChange   #Charities  
. . . .
CCE director professor Paul Palmer emphasises the importance of cash flow as a useful basic tool in forecasting. "An Excel forecasting package tool [means that] voluntary organisations don't have to spend a lot of money doing forecasting." / #SelfService   #SaveMoney  
. . . .
Meaningful and effective forecasting, adds Tully, involves recognising that forecasting "is a process that is actively managed and that it's not just a box ticking exercise once a year to keep trustees happy". This means carrying out regular reviews to assess if income and costs match up to what is expected and ensuring you reforecast as appropriate. / #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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Advantages of business #analytics in strategic planning

There are some crucial tasks in the companies' supply chain for which business analytics can add considerable value. Especially in dynamic and complex environments, managers face critical challenges in obtaining competitive advantage. / #SupplyChain   #Managers  
. . . . 
These five points show some primary advantages that can be realized through applying business analytics in practice. As the survey shows, some companies already recognize and exploit this value-added. / #Analytics  
. . . .
Disclose assumptions. Business analytics support managers in understanding and structuring their business dynamics, including the disclosure of tacitly assumed interactions, for example, between the business and economic shifts, as well as the falsification of subjective assumptions. / #DecisionMaking  

Test strategy impact. Based on proven assumptions and key environmental impact factors, business analytics allow for the testing of strategy strength. As a result, they reveal whether or not desired results can be traced back to specific strategic actions, or whether solely random changes can provide valuable insights into future strategic orientation. / #BuildResilience  

Leverage efficiency. An investment in business analytics for the analysis of critical interfaces or operations can help speed up task execution and can reduce the risk of time-consuming mistakes by identifying previous causes of errors. Accordingly, operative efficiency is improved by cutting costs caused by unnecessary time spent on poorly managed tasks. / #SaveMoney  

See and learn from changes. The application of business analytics can improve management's understanding of market behavior and customer behavior. Using a longer time frame can reveal critical reactions to these targets due to external changes, legislative amendments, or social trends that can be used to anticipate future changes. / #AnticipateChange  

Objectify decisions. Business analytics allow for more formal reporting in the decision-making process. Currently, this advantage does not seem to be fully exploited, as many companies do not even use strategic process reporting. / #SelfService  

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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Fixing government tech: #Innovation against '#IT cartels' and 'complex systems'

Michael Krigsman, enterprise advocate and analyst, summarised several conversations he had with innovative government CIOs. He notes that the common thread in is clear -- "people and relationships, rather than technology, drive successful IT." / #InformationTechnology   #DriveInnovation   #Collaboration  

He notes recent failures in government IT, such as USA's  healthcare.gov issues or the $1B wasted on a scrapped military ERP system.  which have increased scrutiny and ere scrutinised and reform federal technology practices. He points out that President Barack Obama is looking to reform federal technology practices due to inefficient and wasteful IT. / #AnticipateChange #CentralGovernment #USA

Kristin D. Russell, CIO for the State of Colorado, suggests that the governmental workforce is trained for long-term positions using old technologies, enormously complex systems, which make introducing modern approaches difficult. Government CIOs must also "fight for talent," like the private sector, but pay lower salaries. / #HumanResources

Casey Coleman, CIO, US General Services Administration keeps her team focused on user experience and agile process, using cloud platforms (she specifically mentions force.com from salesforce.com) to reduce development time and total cost of ownership. / #Cloud #SaveMoney  

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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#SelfService to #SaveMoney

I've highlighted a few of the self-service benefits that #Executives  ought to know about (via +Salesforce).

Citation:
It’s cheaper to have customers help themselves than to pay someone else to do this. Enabling self-service support eliminates a call or email to a live agent, along with the associated labor costs. To put this into better perspective, the table below is a study from Forrester that represents approximate costs of specific customer service channels per customer contact.
. . . .
The pain point many people experience with customer service is having to wait for a response from a support rep from any company. Unfortunately for fast-growing companies, the rise of customers means the rise of ticket volumes. But there is a solution to this problem: self-service support. In fact, according to Supportindustry.com, 15.6% of customer service requests are reduced from implementing self-service technologies.
. . . .
Because self-service support keeps repetitive customer questions from ever reaching email or the phone lines, it allows agents to have better productivity. 

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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