10 Fastest Growing ERP Solution Providers

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Enterprise Resource Planning

                           

Enterprise resource planning (ERP) is a business-management software— It tries to integrate all the different departments and functions of an organization into a single computer system to serve the various needs of these departments—that an organization can use to collect, store, manage and interpret data from many business activities, including:

·         product planning, purchase

·         manufacturing or service delivery

·         marketing and sales

·         inventory management

·         shipping and payment

·         finance

 ERP is a system that organizes functions of an institution and  supporting, for example, accounting, finance, human resources and e-commerce applications

Top 4 ERP Trends

The following new and continuing trends affect enterprise ERP software:

Mobile ERP 

Mobile ERP is a suite of integrated applications—that a company can use to store and manage data from every stage of business.

Cloud ERP

Cloud ERP systems (and on-premises) is a shared database that supports multiple functions used by different business units. Cloud ERP enables a company’s accounting, operations management and reporting to run in the cloud.

Social ERP

There has been much hype around social media and how important – or not -- it is to add to ERP systems. Certainly, vendors have been quick to seize the initiative, adding social media packages to their ERP systems with much fanfare. But some wonder if there is really much gain to be had by integrating social media with ERP.

Two-tier ERP

Two-tier ERP software and hardware lets companies run the equivalent of two ERP systems at once  one at the corporate level and one at the division or subsidiary level .Enterprises once attempted to build an all-encompassing ERP system to take care of every aspect of organizational systems

Functional areas of ERP

An ERP system covers the following common functional areas. In many ERP systems these are called and grouped together as ERP modules:

Marketing/Sales: Tasks related to customer visits, expenses, shipping, invoicing, forecasting and competitor analysis can be automated and/or enhanced through an ERP system

Customer RelationshipManagement: Sales and marketing, commissions, service, customer contact, call center support

Supply Chain Management : Supply chain planning, supplier scheduling, purchasing 

Manufacturing :  Engineering, Work orders ,quality control, manufacturing process, manufacturing projects, manufacturing flow, product lifecycle management

Accounting/Finance: Fixed asset, payables including vouchering, matching and payment,  cash management, Financial consolidation

Human Resources: Recruitment, payroll, retirement pension, training ,benefits

Advantages of ERP System

·  ERP software accurate forecasting inventory levels kept at maximum efficiency, this allows for the  organization to be profitable.

· Integration of the various departments ensures communication, productivity, and efficiency.

·  Adopting ERP software eradicate the problem of coordinating changes between many systems.

·  ERP software provides a top-down view of an organization, so information is available to make decisions at anytime, anywhere.

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30 Entrepreneurs of the Year 2016

Entrepreneurship is the capacity and willingness to develop, organize and manage a business venture along with any of its risks in order to make a profit Entrepreneurs   are pioneers, innovators, leaders, and inventors.Meet these entrepreneurs and their services 

Data Analytics Basics

Big data analytics:-  The process of examining large data sets containing a variety of data types.

 Data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain.

Big Data Analytics Tools- Helping your organization through thick & thin:

Big data analytics are adopted by many companies today. The analytics process, including the use of big data analytics tools, can help companies improve operational efficiency, drive new income and also gain viable benefits over business opponents.

Some companies specialize in providing big data analytics products, classified as Angoss, Predixion, Alteryx, Alpine Data Labs, Pentaho, KNIME, and RapidMiner.

Big Data Analytics tools

Big data analytics tools are nothing but the software products that hold up predictive and prescriptive analytics applications organizations on big data computing platforms.

There are thousands of Big Data tools available,I have given some examples

Data Storage and Management:-Hadoop ,CloudEra

Data Cleaning :- OpenRefine,DataCleaner

Data Mining:- RapidMiner,Teradata

Data Analysis:- Qubole,BigML

Data Visualization:-Tableau, Datawrpper

Data Integration:-Blockspring,Pentahoa

Organizations that are taking on big data analytics need to accommodate a variety of user types, such as:

The data scientist:-who performs more complicated analyses that involve complex data types and is familiar with how underlying models are designed and implemented to assess inherent dependencies or biases.

The business analyst:- who is likely a more casual user looking to use the tools for proactive data discovery or visualization of existing information, as well as some predictive analytics.

The business manager:-who looks to understand the models and conclusions.

IT developers:- as they support all the prior categories of users.

Here are the Data Analytics Trends of 2016 and Future

Five trends that will have the significant impact on the world of machine data analytics:

->Prescriptive Analytics

->Automated Machine Learning

->Validation and Explanation

->Visualization

->Privacy Legislation

10 Fastest Growing Cloud Computing Companies 2016

10 Fastest Growing Cloud Computing Companies 2016

Cloud Computing

Cloud Computing

Manipulating, configuring and accessing the hardware and software resources remotely. It offers online data storage, infrastructure, and application.

Cloud computing Deployment Models:

Public cloud: Third-party provider delivers the cloud service over the Internet

private cloud:-  Business Data centers to Internal users

Hybrid cloud:-combination of public cloud services and on-premises private cloud

Cloud computing Service models : –

1.Software as a service(SaaS): Delivers software applications over the Internet

 Ex: Sales Force

Google Docs

Microsoft Office 365

2.In fracture as a Service(IaaS):  provides access to physical machines, virtual machines, virtual storage, etc.

EX:Amazon EC2 (elastic cloud compute)

Google Compute Engine

3.Platform as a service(PaaS): Provides the runtime environment for applications development and deployment.

Ex:Amazon AWS

Google App Engine

Cloud Foundry

Benefits:

• It does not require to install a software to access or manipulate cloud application. We can assess applications over the internet.

• Cloud Computing is highly cost effective because it operates at high efficiency with optimum utilization. It just requires an Internet connection