Salesforce New Community Cloud Brings Big Data Analytics to Entire CRM

SalesforceCC 300x198 Salesforce New Community Cloud Brings Big Data Analytics to Entire CRMIt is not always easy for organizations to stay in touch with customers, partners and employees through home communities. With Salesforce’s new Community Cloud, companies can create their communities, in the LinkedIn style, but for their customers, partners and employees.

Built on the Salesforce Community Cloud Platform – via Connect API – companies can directly connect to Salesforce CRM and data sources and third-party systems. In this way, companies can deliver better service to their customers, more sales through partners and increase employee engagement. Salesforce research shows that digital communities guarantee 48 percent faster problem resolution, a 48 percent increase in employee engagement, 45 percent more customer satisfaction and 43 percent increase in sales through partners.

Community Cloud has a new feature called Targeted Recommendations which seeks to promote user engagement on these sites. The new feature, which is based on algorithms that analyze structured and unstructured data, is designed to bring members of the community the most relevant content, as inputs, resources, files and groups. The community managers can suggest content to specific information or an ad in the news and direct it to a group member type or a specific individual.

The second new feature now available is called Lightning Community Builder and Templates, and allows any business user community to deploy a customized, branded and optimized for mobile devices without the need to seek the help of IT. Companies can use Lightning Builder to create your own custom communities with custom applications. For example, a non-profit institution could build an application to organize volunteer events and incorporate it into the home page of your community.

Finally, Salesforce Connect for Google Drive Files is a new feature that allows community members to share any file created or stored in Google Drive. Thus, a marketing team could share a file from Google with the campaign planning group to easily access and work on it. You can also attach files within Google Drive to a record, as sales opportunities or service case.

According to IDC, the enterprise collaboration market was $ 1.24 billion in 2014, and the market expected to reach $ 3.5 billion in 2018, an annual growth of 23.1%. The sector as defined by IDC includes software for collaboration internally and externally. Other major players such as IBM Connections, Microsoft Yammer, Jive Software, Tibco Tibbr, Zimbra and SAP Jam also have a foot in this market.

Last year, Microsoft and Salesforce have signed a strategic partnership to create new solutions that will enable you to connect the platform and the CRM app to Windows and Office apps. The agreement provides that the Salesforce CRM solution is integrated with the Windows OS, the Azure cloud platform and the office suite Office 365.


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MapR Enhances its Real-Time Processing Capabilities for Big Data Analysis

MapR Logo 300x70 MapR Enhances its Real Time Processing Capabilities for Big Data AnalysisThe big data platform MapR just introduced version 5.0 of its Hadoop distribution based on version 2.7 of the open source framework designed for the processing of very large volumes of data with the support for Docker containers. MapR 5.0 also relies on the Yarn resource manager.

This version strengthens the operational capacity real-time platform. In particular, it extended the highly reliable data transport framework used in the function table MapR-DB Replication (which allows replication between multiple data centers) to provide data to external motors and synchronize in real time.

Compared to other Hadoop distributions, MapR extends the functionality of the framework on security aspects (data protection, user authentication, disaster recovery), but also high availability and performance. Version 5.0 brings further improvements in governance, with a full audit access to data through JSON and Apache Drill Views of support for secure access to data analyze.

More and more companies deploy multiple applications on the same Hadoop cluster. In this context, the latest MapR manages automated synchronization of storage, databases and search index.

To facilitate the deployment of Hadoop clusters, the publisher has also included new models of self-provisioning to set up a cluster as if it were an appliance without using specific hardware. These models can be deployed using the MapR installer. Among the possible configurations, there are the Lake Data services, data mining (Interactive SQL with Apache Drill) and analysis of operational data (basic and MapR NoSQL-DB).

The Apache project will help in the analysis and the use of batch processes and their pipelines with rapid and extensive calculations. The announced distribution automatically synced storage, databases and search indices to allow complex real-time applications. It also has new auditing capabilities.

MapR Technologies intends to continue its growth in big data and analytics-segment. In the context of the MapR database now has the ability to the table replication to synchronize data in real time and make it available for external calculators. The first case that is based on Lucene search platform Elasticsearch is supported to enable synchronized full-text search indexes automatically.

Last year, MapR and Apache Spark integrated their technologies to offer its users an all-around the clock support for Spark to develop the solution and related projects at a faster rate and to integrate more innovative changes. In addition, the two companies are working together on a rapid development of the software and other complementary innovative new features. This will pay off for MapR customers and the Hadoop community well over the coming years.

Recently, Oracle released a new software product that is designed to help big data demands. This product called Oracle Big Data Spatial and Graph provides new analytical capabilities for Hadoop and NoSQL. Oracle created the product so that it can process data natively on Hadoop and parallel on MapReduce using structures in memory.


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Salesforce Expands Data Analytics to Next Generation Business Apps

Wave Sales Overview1 225x300 Salesforce Expands Data Analytics to Next Generation Business AppsIn many popular consumer applications a user can take immediate action if he has obtained important information from large amounts of data. For business applications, it appears that, directly taking action in response to a data analysis not so easy. This often occurs because the analysis may be not coming from relevant data sources or because it directly not linked to the tasks. The result is sluggish business decisions at the expense of the operating results.

Salesforce.com has set the goal of providing businesses with a more user-friendly analysis tools for the reason mentioned above. Last week, the leader of the CRM service provider has unveiled a series of apps tailored to specific activities or roles. Among them is the introduction of Sales Wave Analytics, a tool for business, which will be the first to be delivered.

Earlier this year, Salesforce.com had already made a series of updates for its mobile platform Wave Analytics Cloud, and last month the company had added a new tool focused on big data. This time, the latest round of Wave Analytics Apps applications is intended to extend the cloud analytics capabilities by providing the prepackaged templates that can meet specific needs according to use, with the ability to provide a meaning data appropriate to the context.

The applications instantly integrate CRM data in appropriate role models to accelerate deployment. They will also highlight the historical trends and making full year comparative from any terminal. Because Wave Analytics Apps applications are built natively on Salesforce1 platform, predefined data flows will not only postpone automatically, but also to update all parameters associated with these changes in Salesforce.

Sales Analytics Wave is the first app in the series delivered by the firm. It will allow business to benefit from new forecasting management tools, sales pipeline, performance and more. Preconfigured templates included in the application will allow users to explore all Salesforce sales data. It will cover sales pipeline management and forecasting so that they can give access to quarterly results and will allow to follow team performance.

The top management of the business operations may, for example, use this tool to have a real-time analysis of sales pipeline and cross this information with the sales performance of products directly from the mobile phone to determine if these forecasts should be revised or not.

The Sales Wave Historical Analysis function allows sales managers themselves to create the database in no time from any device with an analysis of historical data. As a result they no longer have to wait for the results of business analysts.

The Wave platform is vertically integrated with Salesforce’s cloud analysis platform. In addition, the data does not need to be sorted for analysis, because the Wave platform includes a schema-free architecture. This allows all employees to intuitively explore full datasets and display the results in dashboards and graphs.

The tool will be available on iOS for iPhone, iPad and even Apple Watch. Additional languages ??and other compatible devices will be added to the list later.


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Major IT Players Form R Consortium to Strengthen Data Analysis

r consortium 300x199 Major IT Players Form R Consortium to Strengthen Data AnalysisThe Linux Foundation announced the formation of R Consortium, with the intention of strengthening technical and user communities around the R language, the open source programming language for statistical data analysis.

The new organization R Consortium became an official project of Linux Foundation and is designed to strengthen R language users.  It is expected that R Consortium will complement the existing fund, and will focus on expanding the user base of R, as well as focus on improving the interaction of users and developers.

The Representatives of the R Foundation and industry representatives are behind the new consortium. Microsoft and RStudio have joined the consortium as platinum members. TIBCO Software is a gold member and Alteryx, Google, HP, Mango Solutions, Ketchum Trading and Oracle have joined as silver members.

R Consortium will complement the work of R Foundation, establishing communication with user groups and engaging in supporting projects – related to the creation and maintenance of R mirror sites, testing, resources for quality control, the financial support and promotion of the language. Also, the consortium will assist in creating support packages for R and organizing other related software projects.

R is a programming language and development environment for scientific calculations and graphics that originated at the University of Auckland (New Zealand). The R language has enjoyed significant growth and now supports more than two million users. A wide grass industries adopted the R language, including biotech, finance, research and high-tech industries. The R language is integrated with frequency analysis, visualization, and reporting applications.

Having acquired the company Revolution Analytics (which makes strong use of language), Microsoft announced that it is joining the consortium together with other founding members such as Google, Oracle, HP, Tibcom, Rstudio, Alteryx to finance the new consortium.

Microsoft’s official said that “the R Consortium will complement the work of the R Foundation, a nonprofit organization that maintains the language, and will focus on user outreach and other projects designed to assist the R user and developer communities. This includes both technical and infrastructure projects such as building and maintaining mirrors for downloading R, testing, QA resources, financial support for the annual useR! Conference and promotion and support of worldwide user groups.”

Google also says they have thousands of users and their own developers using R, so this language is crucial for many of their products. Google is happy to join the rest of companies to continue to maintain the infrastructure of the open source R.

Microsoft’s support of real-time analytics for Apache Hadoop in Azure HDInsight and machine learning in Azure Marketplace use R language to service anomaly detection for preventive maintenance or detection of fraud.


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AWS Roundup: Now you can query streaming data with SQL

The dog days of summer are over, and it’s time to get back to work. While you were out enjoying the sunshine and sipping margaritas, Amazon continued to update its cloud platform with new services like Kinesis Analytics, which lets users query streaming data with SQL. 

There were also a ton of updates to existing services, with the company’s load balancer service moving up the stack, hourly billing coming to virtual desktops and support for customers bringing their own encryption keys for Amazon to manage. 

Here’s the detailed breakdown:

Kinesis Analytics is here to query streaming data with SQL

Amazon launched a new product to help users process and gain insights from large amounts of streaming data as it’s coming in, rather than waiting to process it when it hits a database. Kinesis Analytics lets users set up SQL queries to run on batches of data as it arrives in Amazon’s cloud.

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