Nowadays, customer relationship management (CRM) has become important for every industry and that includes healthcare as CRM improves patient satisfaction, helps control costs, and provides valuable insight into your patient community. Jeff Nixon (the President and COO of Highland Solutions), writes in his article about some ways how CRM technology advances operations in any healthcare facility. Read more at: http://it.toolbox.com/blogs/insidecrm/four-top-benefits-of-crm-technology-for-healthcare-70820

Over last quarter-century, there has been a steady increase in the features available for different application of analytics industry. At one level all the features help organisation get the most value possible from their information assets. All different technologies are designed for different user types. Due to merging of needs of different user, if we want to leverage all the features, we typically need several servers and interfaces. SAP cloud analytics integrates all technologies into a fast blazing platform which we don’t even need to install. With SAP HANA, we can easily cleanse, integrate combination of data sources and provide insightful budget forecasting. We can also analyse combination of structured and unstructured data and augment data exploration with sophisticated geographical mapping with the ultimate vision of Big Data Discovery. Based on SAP HANA’s HTAP capabilities, its all possible on real operational data with instant sophisticated of data for analysis. Read more at:- http://timoelliott.com/blog/2015/10/reinventing-the-analytics-experience-sideways.html

Bill Miller (VP of marketing for Fiber Mountain), predicted in his article that could have an impact on voice over IP (VoIP) and unified communications (UC) for small business to enterprises. They are – Cloud, Mobile VoIP, Desktop IP Handsets vs. Mobile, Collaboration Tools, and Mergers & Acquisitions. Read more at: http://it.toolbox.com/blogs/voip-news/8-predictions-for-voip-and-uc-in-2016-70764

Surveys show that security concerns are primarily stopping user from using cloud solutions. In reality, the security provided by reputed cloud vendors is much more secure than home grown solutions as seen in Sony's email hack and target credit card breach cases. Cloud solutions are cheaper, adds flexibility, providing tremendous computation capacities to users in just second without even installing software. It updates continuously, where we can store personal data with greater security because the cloud service provider know better protection than a customer. People are reluctant towards transferring all data from premise to cloud just for analysis because they don't understand how much of the data analyzed comes from internal system. Audience at the international conferences uses cloud analytics over Hybrid Transaction/Analytical Processing (HTAP) due to risk of disruption of jobs. The visible risks of cloud solutions are acceptable because of the rule that relying on outside services run by experts completely overwhelms the potential cost. Read more at:- http://timoelliott.com/blog/2015/10/whos-afraid-of-cloud-analytics.html

Predictive analytics involve mining database for actionable insights on your customers and it aims to find patterns that will suggest sales strategies or tactics that will make your sales efforts more successful. It is a new tool for CRM. There are a number of third-party programs available that will enable you to apply predictive analytics to your CRM data, but, the cloud-based solutions are more attractive to small businesses. Read more at: http://it.toolbox.com/blogs/insidecrm/predictive-analytics-for-crm-70768

Big data analytics require skilled data scientists who are paid unreasonably high amount of money, because of their ability to ask right question and create the most effective algorithm in order to extract meaningful information from tons of data. But, not anymore. Researchers at MIT teamed had developed a machine of automated analytics that explores patters and designs in data structures. Read more at:- http://blogs.csc.com/2015/10/16/can-automated-analytics-reduce-need-for-data-scientists/

One area of analytics is machine learning. In earlier days, large companies could buy workstations and specialist software and employ highly educated people to look at their CRM data. The big change that makes machine learning with CRM data necessary today is the change in how customer interactions take place. Read more at: : http://it.toolbox.com/blogs/insidecrm/let-the-machines-do-the-marketing-machine-learning-with-crm-data-70746

The ground rule in business is keeping the customers happy. But, it isn’t always put in practice. CRM can help you and make you more aware of how you treat your customers and you have to focus on what your customers want and what they don't want. Read more about how to eliminate customer frustrations with CRM at: : http://it.toolbox.com/blogs/insidecrm/eliminate-customer-frustrations-with-crm-70740

Business executives know that text analytics have immense benefit. But, sometimes don’t understand all the concepts associated with it. Jerri Ledford (Analyst with Studio B), writes in her article about some of the most important terminology surrounding text analytics. Understanding these terms will help executives. These are – Annotation, Latent Dirichlet Allocation, Lexical Chain, Machine Learning, Probabilistic Latent Semantic Analysis, Natural Language Processing, Topic Modeling, etc. Read more at: http://it.toolbox.com/blogs/inside-erp/text-analytics-15-terms-you-should-know-surrounding-erp-70728

Every touch point or interaction with a customer results in the creation of data that that the organization collects and stores. Some organizations don’t know how to use this data to generate real business value. Text analytics is one method of using this data. It also allows organizations to tap into data such as emails, call center interaction records, form or poll responses, and social media information to learn the why behind customer motivation. Read more about some ways to use text analytics in CRM at: http://it.toolbox.com/blogs/insidecrm/4-ways-to-use-text-analytics-in-crm-70696

We are approaching the New Year, and IoT is poised to make an incredible impact on the technology landscape. One of the ways in which the IoT stands ready to influence the business landscape involves a technology called customer relationship management (CRM). Rose de Fremery (Analyst with StudioB), writes in her article about some ways in which this IoT development has the potential to transform marketing, the customer experience, and the product experience through its link with CRM. Read more at: http://it.toolbox.com/blogs/insidecrm/4-ways-the-iot-cloud-is-poised-to-transform-crm-70698

Pareto principle states that 20% of your customers produce 80% of your profits. If we apply the Pareto principle in business, we can make more profit with less effort. We can do so by concentrating on the most important things and giving less attention to the less important things and in turn can produce more with less effort.  CRM makes it easy to identify your most profitable 20%. This principle also helps in identifying new customers.  Read more at: http://it.toolbox.com/blogs/insidecrm/the-pareto-principle-and-crm-70659

An ideal CRM system should help in handling all aspects of customer interaction – from initial contact through service after the sale. If you have a small business, you don’t need a CRM system, but as soon as the business starts to grow, a CRM system becomes important. So, when to implement a CRM system is important to every business. To know more, follow: http://it.toolbox.com/blogs/insidecrm/do-you-need-a-crm-system-70637

Nowadays, CRM helps you to personalize your contacts with customers to boost sales, increase customer satisfaction and build customer loyalty. Business should always have a customer-centric view. Customer-centric personalization means that you deal with customers individually, or at least in a way that appears individualized to the customer. Read more at:  http://it.toolbox.com/blogs/insidecrm/personalization-with-crm-70638

There are numerous solutions in the customer relationship management (CRM) software market, and choosing the right one is a huge task. Every business should understand its own processes and requirements before finding the perfect CRM software solution. Once you know how your business operates, it is easier to identify the requirements of the CRM and, from there, to move onto a CRM solution that fits your unique needs. To know more about the right requirements of your business, follow: http://it.toolbox.com/blogs/insidecrm/finding-your-needle-in-the-haystack-crm-software-70623

Nowadays, companies can generate more leads, retain existing customers and improve their customer service processes by incorporating data from sources like social media and server logs. Big data also improve the functionalities and features of CRM systems by providing accurate, and valuable information. Companies source big data from social media platforms, web clickstreams, sensor networks, mobile apps and computer logs. These information, gives insights about the thoughts and feelings of consumers, but, sometimes, they struggle with the large volume of data. So, if the companies have a good coordination between CRM solutions and big data, it will help the companies in the future. Read more at: http://it.toolbox.com/blogs/insidecrm/4-reasons-why-big-data-technology-and-crm-are-the-perfect-match-70625

Log management and monitoring of network activity are important security operation from a business perspective. These activities also range from daily simple individual log files to security information and event management systems. But, nowadays, monitoring is expanding to include more data which are analyzed continuously. Real time alerting and daily reports on emerging threats and vulnerabilities are also very important to detect and respond to security events. Data analytics look at behavior across and between all monitored devices and people. Read more at - http://it.toolbox.com/blogs/adventuresinsecurity/continuous-monitoring-extended-to-big-data-analytics-70597

Customer relationship management (CRM) software is a great tool for increasing productivity in sales teams and studies also show that successful implementation allows teams to increase their sales by 27% by focusing on the right prospects and reducing the need for manual work. But, some companies face resistance while implementing CRM. Recently, some CRM features are added that can help companies to bring some potential impact on their organization. These features are - Email Integration, Note Taking, Collaboration, and Communication. Read more at - http://it.toolbox.com/blogs/insidecrm/crm-too-clunky-todays-solutions-encourage-not-prohibit-productivity-70594

Software-as-a-service applications are evolving in the enterprise market. Customer relationship management tools benefit from an integrated cloud-based architecture, as customer data can be easily pulled in and shared across the enterprise. However, organizations need to be aware of security vulnerabilities present in the SaaS environment before uploading sensitive customer data and trade secrets into the system.  Read more at - http://it.toolbox.com/blogs/insidecrm/5-security-vulnerabilities-for-saas-crm-systems-70592

Customer data is important for any organization, but sometimes, there are no proper backups. In a recent survey, it was found that 45% of companies suffered from data loss, costing companies $9,000 per occurrence. Organizations must follow some best practices for backing up your customer relationship management (CRM) tools which avoids the monetary and productivity loss associated with CRM disaster recovery. The best practices of backup are - Multiple Backup Location, Different Backup Media, Regular Backup Schedule, Tests Your Backups, and Create a Disaster Recovery Plan. Read more at - http://it.toolbox.com/blogs/insidecrm/best-practices-for-backing-up-your-crm-70593