Monthly Archives: August 2016

5 Ways to Convert Leads Into Opportunities

5 Ways to Convert Leads Into Opportunities

Data-Driven Lead Intelligence: CRM accelerates your ability to make better sales and marketing decisions based on robust client and lead analytics. With better business intelligence, you can achieve a customer-centric view across your enterprise to attain greater efficiencies and increase marketing and sales productivity. 

Robust Marketing Analytics: CRM lets you create, track and manage marketing campaigns effectively. Whether it’s outbound calls, email marketing or social media campaigns, CRM automates the process and provides data-driven results to accurately measure—and improve—marketing efforts.

Interactive Monitoring & Reporting: CRM solutions provide you and your sales team with the tools and information required to close sales faster and monitor sales performance. You can select from a diverse display of reports, create new reports using wizard-based report tools and easily filter out the data you don’t want to see. With automatic reporting delivering deep sales insights, lead management performance improves.

Enterprise Collaboration: CRM solutions drive employee productivity and knowledge exchange with social-style collaborative tools, including peer-to-peer learning and employee engagement. Mobile access, an increasingly critical functionality in business productivity software, grants your team 24/7 access to vital customer information, schedules, projects and history. The better your business collaborates to serve, market and sell as a unified entity, the better your lead nurturing performance.

True Lead Understanding: CRM stores data about all leads and creates lead reports that show you the components that make up your leads and how your leads best fit into your sales pipeline. CRM solutions allow you to customize your lead reports, all the while providing you with automated, end-to-end lead tracking designed to manage leads accurately through your sales pipeline. You can even automate your follow-up activities for greater efficiency in cultivating and nurturing lead relationships. CRM automates the way you acknowledge, manage, analyze, market and sell to your leads—total lead relationship management.

7 Steps Into Web Service Development


7 Steps Into Web Service Development
(Best Practices)

  1. A Web Service should be defined with a WSDL (or WADL in case of REST) and all responses returned by the Web Service should comply with the advertised WSDL. This can, for example, be tested with tools like SoapUI or XMLSpy, which validate SOAPresponses against a WSDL.

  1. Use XML Schema to define the input and output of your Web Service operations.

  • Make sure to define return types for all returned data, preferably as XSD ComplexTypes.

  • Do not use the AnyType tag, as it makes it impossible (or non-beneficial) to use XML binding libraries to auto-generate code to construct request/response objects.

  • For ComplexTypes, make sure the occurrence indicators (minOccurs and maxOccurs) are correctly defined, so that it is clear to the consumer which fields are required and which are optional and the frequency of each field.

  • Make sure your namespaces are well defined (not some default like "org.tempuri")

3. Do not use a proprietary authentication protocol for your Web Service.  

Rather use common standards like HttpAuth or Kerberos.  Or define username/password as part of your XML payload and expose your Web Service via SSL.

4. Keep it simple

  • Write a Web Service with many simple methods rather than one large method (with numerous arguments) that tries to be everything to everyone.

  • Adhere to the OO principles of maximizing cohesion and minimizing coupling when designing your Web Services.

5. Make sure your Web Service returns error messages that are useful for debugging/tracking problems.  For example, include an error code and a human readable error description.

6. Make sure to offer a development environment for your service, which preferably runs the same Web Service version as production, but off of a test database rather than production data.

7. Thoroughly test your Web Service, in a technology-agnostic manner, before having others integrate with it.

Tips & Tricks to Use Big Data


Tips & Tricks to Use Big Data

The value of an idea lies in the using of it.
Thomas A. Edison, American Inventor

Datas are becoming more and more the key of developement of businesses. But data have no value if you don’t have the right tools to analyse them and match together the puzzles to see the whole view. Many companies today, gather a lot of information, but how they put in action all that info-pool? This is the topic! If you don’t know how to use everything you get and put it into action, then no value is added.  Below, I am listing some tips and tricks the most successful companies use today to make important decisions from data usage: 

Sam Walton, founder of Walmart, once proclaimed: “There is only one boss. The customer. And he can fire everyone in the company from the chairmain on down, simply by spending his money somewhere else” Whatever your business is about, is the client who has the power to make a step back or forward to get an edge on the competition. So, the tip is to keep in mind: DATA describe your customers needs. By defining and categorizing the groups of people you want to connect with, you can customize your strategic plans to meet their unique needs.  

2. Automation of Sales and Marketing

The best trick is to keep a continuous relationship with your client. By connecting all your various communication systems, you can leverage the data collected throughout the entire customer journey. Automation helps you to be focused in the most effective ways to reach your ideal clients and meet their expectations. Combining the necessary information and tools will allow you to experiment, test and uncover what delivers the best results as well as the opportunities they may be missing.

3. Innovation 

Big data analytics can be used to improve the developement of the next generation of the products and services. Sucessful companies have proffessional teams to analyze data so they can be a step forward in the big world of competition. The logic is simple. By knowing the problems that your customer usually face or the way they interact with your services or products, can help you to design the next step of your company developement, next services & products. If you understand the customer problem you dramatically improve your odds of successful innovation.Clayton Christensen, author of The Innovator’s Dilemma, underscores this point when he encourages innovators to understand the jobs a customer needs to get doneWhen Apple launched its ill-fated Newton device, no one understood what problem it was supposed to solve. Later, when Apple launched the iPhone we all understood that this was the way to carry one digital device instead of a separate phone, music player, and organizer.