Post has attachment
Salesforce Wear opens wearable CRM market, cool

Salesforce is said to be making a "bold and well-timed" move into the "wearables space". In their lineup of supported devices are the Epson Moverio, Jawbone UP, Vuzix M100, Meta Spaceglasses, and Oculus Rift join Pebble, Samsung Gear, Google Glass, Moto360, Myo, and Bionym Nymi band. Some highlights from the article:

Salesforce revealed that FacialNetwork, a HospitalityID app, allows customer service reps wearing smart glasses to identify guests using instant facial recognition technology.
. . . .
ClickSoftware’s ShiftExpert app leverages Samsung Gear II smartwatches to enable employees to clock in and out from shifts, automatically entering the data into timesheets – and sending reminder notifications if the worker is in danger of being late for a shift. 
. . . .
Proximity Insight’s app for Android Wear smartwatches alerts workers when a VIP has come into physical range, allowing retail employees to greet the customer right away.

#DriveInnovation   #Mobile   #Consumerisation   #HumanResources   #Sales  

Posted by +David Pidsley with +Dan Durrant 

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

www.CauseAnalytics.com

Post has attachment
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

Post has attachment
Using big data to make better pricing decisions

Citation: It’s hard to overstate the importance of getting pricing right. On average, a 1 percent price increase translates into an 8.7 percent increase in operating profits (assuming no loss of volume, of course). Yet we estimate that up to 30 percent of the thousands of pricing decisions companies make every year fail to deliver the best price. That’s a lot of lost revenue. And it’s particularly troubling considering that the flood of data now available provides companies with an opportunity to make significantly better pricing decisions. For those able to bring order to big data’s complexity, the value is substantial.
. . . 
The key to better pricing is understanding fully the data now at a company’s disposal. It requires not zooming out but zooming in. As Tom O’Brien, group vice president and general manager for marketing and sales at Sasol, said of this approach, “The [sales] teams knew their pricing, they may have known their volumes, but this was something more: extremely granular data, literally from each and every invoice, by product, by customer, by packaging.”
. . .
To get sufficiently granular, companies need to do four things.

Listen to the data. Setting the best prices is not a data challenge (companies generally already sit on a treasure trove of data); it’s an analysis challenge. The best B2C companies know how to interpret and act on the wealth of data they have, but B2B companies tend to manage data rather than use it to drive decisions. / #Analysts   #DecisionMaking  
. . . 
Automate. It’s too expensive and time-consuming to analyze thousands of products manually. Automated systems can identify narrow segments, determine what drives value for each one, and match that with historical transactional data. This allows companies to set prices for clusters of products and segments based on data. Automation also makes it much easier to replicate and tweak analyses so it’s not necessary to start from scratch every time. / #Automation  
. . .
Build skills and confidence. Implementing new prices is as much a communications challenge as an operational one. Successful companies overinvest in thoughtful change programs to help their sales forces understand and embrace new pricing approaches. Companies need to work closely with sales reps to explain the reasons for the price recommendations and how the system works so that they trust the prices enough to sell them to their customers. Equally important is developing a clear set of communications to provide a rationale for the prices in order to highlight value, and then tailoring those arguments to the customer. Intensive negotiation training is also critical for giving sales reps the confidence and tools to make convincing arguments when speaking with clients. / #Sales   #HumanResources  
. . . 
Actively manage performance. To improve performance management, companies need to support the sales force with useful targets. The greatest impact comes from ensuring that the front line has a transparent view of profitability by customer and that the sales and marketing organization has the right analytical skills to recognize and take advantage of the opportunity. The sales force also needs to be empowered to adjust prices itself rather than relying on a centralized team. This requires a degree of creativity in devising a customer-specific price strategy, as well as an entrepreneurial mind-set. Incentives may also need to be changed alongside pricing policies and performance measurements. / #Managers   #Enterpreneurs  

#GrowIncome   #BigData  

Posted by +Dan Durrant w/ +David Pidsley 

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

www.CauseAnalytics.com

Post has attachment
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
Photo

Post has attachment
#Segmentation: At The Heart Of Customer Data #Analytics

Citation mix:
Segmentation is actually one of the most essential steps in progressive market management, and it’s also one of the most neglected. By neglected, I mean it’s either not performed at all or it’s designed in a very traditional fashion using demographic or firmographic parameters. Over the last decade, the science and art of segmentation has evolved. Best-in-class organizations have embraced the scientific data revolution and have begun to design both qualitative and quantitative segmentation processes that leverage their rich data. / #Demographics   #Sales  
. . . 
You may not realize it, but you already have all of the data required to conduct a basic segmentation analysis. The data might be fragmented and not located in a centralized repository, but with a bit of intention and focus, it can quickly be assembled and mined to begin the segmentation process. You might also consider conducting additional surveys to collect need-based customer preferences, but starting with the data you already have is a good first step. / #DataWarehouse  
. . . 
In both B2C and B2B markets, best-in-class organizations have quickly realized the one-size- fits-all approach is no longer relevant. As a matter of fact, progress in the science of segmentation and the availability of data now allows marketers to become far more refined in their segmentation depth. Big data in marketing and sales allows for micro-segmentation and more relevant one-on-one marketing.  / #BigData  
. . .
The primary objective of segmentation through data analytics is to identify the profile of your most successful and profitable existing customers. Your sales force might think they know who these customers are, but chances are they mostly rely on intuition and experience. By adding the data analytics dimension in the identification process, you can validate some of these impressions and accelerate the process. / #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

Post has attachment
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

Post has attachment
Return on #Analytics: It's about behaviour change

Citation: There’s a reason why big data analytics are so successful at some companies, yet fall flat at others. As MIT’s Michael Shrage put it in a recent Harvard Business Review article, it all depends on how deeply the data and tools are employed in the business. “Companies with mediocre to moderate outcomes use big data and analytics for decision support,” he says. “Successful ROA—Return on Analytics—firms use them to effect and support behavior change.” / #DecisionMaking   #HumanResources   
. . .
As he puts it, “better data-driven analyses aren’t simply ‘plugged-in’ to existing processes and reviews, they’re used to invent and encourage different kinds of conversations and interactions.” / #DriveInnovation  
. . . 
Shrage’s observations come from interviews and discussions with hundreds of organizations in recent years. His conclusions point to the need to develop an “analytical culture” – in which the behaviors, practices, rituals and shared vision of the organization are based on data versus guesswork. This is not to say gut feel and passion don’t have a place in successful ventures – because they do. But having the data to back up passionate leadership is a powerful combination in today’s business climate. / #Executives  
. . . 
Shrage cites one company that recognized that a great deal of education and training was required before it could re-orient its analytics capabilities around “most profitable customers” and “most profitable products.”  Even clients and partners required some level of training. The bottom line: “The company realized that these analytics shouldn’t simply be used to support existing sales and services practices but treated as an opportunity to facilitate a new kind of facilitative and consultative sales and support organization.” / #GrowIncome   #Sales  

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

Post has attachment
Gartner Predicts Business Intelligence and Analytics Will Remain Top Focus for CIOs Through 2017

Citation: The CIO focus on business intelligence (BI) and analytics looks set to continue through 2017, according to Gartner, Inc. Gartner said that the benefits of fact-based decision-making are clear to business managers in a broad range of disciplines, including: marketing, sales, supply chain management, manufacturing, engineering, risk management, finance and HR. 

"Major changes are imminent to the world of BI and analytics including the dominance of data discovery techniques, wider use of real-time streaming event data and the eventual acceleration in BI and analytics spending when big data finally matures," said Roy Schulte, vice president and distinguished analyst at Gartner. "As the cost of acquiring, storing and managing data continues to fall, companies are finding it practical to apply BI and analytics in a far wider range of situations."

Gartner outlined four key predictions for BI and analytics:

By 2015, the majority of BI vendors will make data discovery their prime BI platform offering, shifting BI emphasis from reporting-centric to analysis-centric.
. . . .
By 2017, more than 50 percent of analytics implementations will make use of event data streams generated from instrumented machines, applications and/or individuals.
. . . 
By 2017, analytic applications offered by software vendors will be indistinguishable from analytic applications offered by service providers.
. . 
Until 2016, big data confusion will constrain spending on BI and analytics software to single-digit growth.

#Managers   #Analytics   #BigData   #BusinessIntelligence   #DecisionMaking   #SupplyChain   #Sales   #Manufacturing   #Finance   #HumanRelations   #ReduceRisk  

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

Post has attachment
25 Questions You Didn’t Know Business Intelligence Could Answer for Your Business

The 25 questions are helpful for #Executives   #HumanResources   #SupplyChain   #Marketing  &  #Sales . It also references some interesting stuff about BI adoption from the 2014 annual Business Intelligence Gleansight Benchmark report.  For example, the executive level demand for data-driven decisions (92%), is said to be the top reason that the highest performing organisations had for implementing #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

Post has attachment
Powerful emotional connections through designed serendipity

Momentarily disregard all questions of user #privacy , and consider the potential of designed serendipity...

Citation: In a world where data scientists can create magic from data, even the finest of details may seem valuable because our digital lives tell a lot about who we are, and what we potentially are. / #PredictiveAnalytics  
. . . 
The more you know about the person, you are likely to know what will nicely surprise them. Get to know users not only through the facts, but also soft factors such as personalities, aspiration,
and behaviour. Marry data driven insights as well as behavioral and needs-driven insights. / #BigData  
. . . 
Research by the neurologist Donald Calne revealed in his book, Within Reason: Rationality and Human Behavior (1999) that people are about 80% emotional and 20% rational, and the essential difference between emotions and reasons is that emotion leads to action, while reason leads to conclusions. If we don’t make an emotional connection to users, we are unlikely to lead them to an action.  / #DecisionMaking   #Sales  
Wait while more posts are being loaded