Why
Enterprise Resource Planning also called ERP is required?
To answer this, let’s examine this typical business scenario
·
Sales Team approaches the Inventory department to check for
availability of the product.
·
In case the product is out of stock ,the sales team approaches
the Production Planning Department to manufacture the product.The Production
planning Team checks with inventory department for availability of raw material
·
If raw material is not available with inventory , the Production
Planning team buys the raw material from the Vendors then Production Planning
forwards the raw materials to the Shop Floor Execution for actual production.
·
Once ready , the Shop Floor Team forwards the goods to the Sales
Team , who in turn deliver it to the client. The Sales Team updates the Finance
with revenue generated by sale of product
·
Production planning Team update the finance with payments to be
made to different vendors for raw materials.All departments approach the HR for
any Human Resource related issue.
·
That is a typical business process of in a manufacturing company
·
Some Key Inferences one could derive from the scenario would be.
·
A typical Enterprise has many Departments or Business Units.
·
These Departments or Business Units continuously
communicate and exchange data with each other.
·
The success of any organization lies in effective communication,
and data exchange, within these departments ,as well as associated Third Party
such as Vendors, Outsourcers ,and Customers.
·
Based on the manner in which communication and data exchanged is
managed
Lets look at Decentralized system without ERP. In a company with Decentralized
System of Data Management - Data is maintained locally at the
individual departments; Departments do not have access to information or data
of other Departments
·
To identify problems arising due to decentralized Enterprise
management system lets look at the same business process again.
·
The Customer approaches the sales team for a product, but this
time around he needs the product, on an urgent basis
·
The Sales Team do not have real-time information access to the
products inventory.
·
So they approach the Inventory department to check the
availability of the product.
·
This process takes time and customer chooses another vendor
·
Loss of Revenue and Customer Dissatisfaction.
·
Now , suppose the product is out of stock and the Sales
Team approaches the Production Planning team to manufacture the product for
future use.
·
Production Planning Team checks the availability of the raw
materials required.
·
Raw Material Information is separately stored by Production
Planning as well as Inventory Department.
·
Thus Data Maintenance Cost (in this case Raw Material)
goes up.
·
A particular raw material required to manufacture the product is
available in the inventory ,but as per the database of the production planning
team, the raw material is out of stock.
·
So , they go ahead and buy the raw material. Thus, material as
well inventory cost goes up.
·
Once the raw material is available ,the shop floor
department suddenly realize they are short of workers
·
They approach the HR , who in turn hire temporary employees
at higher than market rates. Thus LABOR Cost Increases.
·
The production planning department fails to update the finance
department on the materials they have purchased.
·
The finance department defaults the payment deadline set by the
vendor causing the company loss of its repute and even inviting a possible
legal action.
·
This is just a few of many a problems with decentralized
systems.
What is the best ERP ?
There
are a number of ERP systems on the market today, so how do you know which one
is right for you?
The
ERP system market today is dominated by three platforms: Oracle E-Business
Suite, Microsoft Dynamics, and SAP.
Oracle E-Business Suite
Oracle
E-Business Suite has the ability to integrate several different modules
seamlessly into one system for ease of use. Oracle E-Business Suite also allows
you to automate many of the processes so that manual data entry is no longer
required. This not only increases efficiency, but eliminates errors and ensures
data is not lost.
One
of the primary disadvantages for the Oracle E-Business Suite is that it can be
less user-friendly than some other platforms—particularly for small businesses.
Microsoft Dynamics
Microsoft
Dynamics, as the name implies, is built on Microsoft infrastructure and syncs
seamlessly with other Windows business applications—allowing for an easy
transfer of information across all systems.
Microsoft Dynamics syncs with other Windows
applications, making the sharing and transfer of information simple. It
provides exceptional collaboration features, allowing different parts of the
company to share information effortlessly. Since it is built on Windows
infrastructure, implementing Microsoft Dynamics takes considerably less time
than other systems. It has the shortest implementation time of the top three
systems.
SAP
SAP
holds the largest market share in the ERP solutions industry. In 2012, SAP
actually controlled approximately 25 percent of the market. Oracle followed
with 13 percent and Microsoft Dynamics with 5 percent.
Although
SAP is a very large company, they do not exclusively work with major commercial
enterprises. They actually have a product that is very small business friendly,
with thousands of customers that employ less than 1,000 people.
Their
software is very intuitive and provides a number of business intelligence
features including dashboards, report writing, and data storage.
SAP Disadvantages
For
those that are unfamiliar with SAP, it can take a while to pick up compared to
Oracle and Microsoft Dynamics, but once the basics are learned, it is an easy
system to use.
Although
prices can vary depending on the features you need, SAP tends to be more
expensive than its competitors—which may make it a less than ideal solution for
small to medium sized businesses with limited IT budgets.
OPEN ERP
Odoo, previously known as OpenERP, is an open-source Business Application Suite software actively programmed, supported, and organized by OpenERP s.a. Odoo is similar to many open source projects where customized programming, support, and other services are provided by an active global community and partner network. The community is comprised of more than 1,500 active members and has contributed more than 3000 modules to the ongoing enrichment of Odoo. The network of certified partners, established in more than 100 countries, deploys the solution locally. The software, with more than 1,500 downloads a day, is one of the most frequently installed business suites worldwide.
All Odoo Apps such as Odoo CRM, Odoo Sales, Odoo Accounting, Odoo WMS (Warehouse Management), Odoo HR, Odoo Project Mgmt, Odoo Events, Odoo Marketing, etc. are integrated to each other.
Odoo is an open source alternative to many softwares. It can be used in any retailer with its POS (Point Of Sales), and in any website with its CMS ( website builder) synschronized with the e-Commerce App. In the enterprise resource planning software field; Odoo is an alternative to SAP ERP, Oracle E-Business Suite, Microsoft Dynamics, Netsuite, Adempiere, Compiere, OFBiz, Openbravo, and others.
Odoo has offices in Belgium, US, Luxembourg, India and Hong Kong.
Implementing the right ERP solution
Today, there are many ERP options available in the market. Selecting or making the right choice of ERP Solution for your business is one of the crucial business decisions. While many companies feel that any software or ERP will work and their organizations will simply adapt to the functionality of the software. The right ERP can propel your company forward while the wrong decision may potentially be catastrophic. This article will delineate key steps in the ERP selection process. Thus, the decision shouldn’t be taken lightly or made with incomplete information.
1. Selection of Committee:
This is first and most important step of Selecting the Right ERP System. Members of this committee should be decision makers in the organization representing all relevant departments.
· While electing the committee leader, most of the companies makes mistake that they select IT professionals only. ERP solution is the Business decision and not an IT decision. IT plays only support role in this process. Committee Leader must have a deep knowledge and understanding of your business and the Industry, and should have the authority to bring about change.
· Members of the committee need to understand the importance of the ERP selection process and make the required time commitment towards this.
· Final decision maker, who is going to sign the contract, should be part of committee. Selecting an ERP is a big decision for any company, it’s important to have the final decision maker involved as much as possible in extensive meeting discussions.
2. Conduct a Process Review and Analysed your Business Needs:
While selecting right ERP solution “Business Needs” is playing very important role and not what “You Want”. Wants are only important at the very end of the process if you have uncovered several potential products that meet your Business Needs.
Firstly define and document your current business process also highlight the pain/strength point. Also include the processes should look like in the future (”to-be” state) and the corresponding business requirements. These processes and requirements should eventually help while software demonstration.
Many company neglects to involve end-users’ requirement and eventually lead to the failure of the project. End-user must be involved in the project at the beginning of the project until the end.
3. Evaluate the Technical Fit.
It is very important to understand how a potential ERP solution will align with your current infrastructure. Also, consider the availability of support technical resources in the organisation.
4. Local or Cloud
One more important consideration is whether to install locally or go with a cloud-based system. Both have its own advantages, a local installation will generally have a higher upfront const, but lower ongoing maintenance fees. On the other hand, a cloud-based install, has much lower upfront costs, but higher maintenance fees. It is important to select the right option as per the business requirement.
5. Customization
Many companies are in niche industries not easily served by off-the-shelf software. You need an ERP system that is designed from the ground up to allow in-house customization and configuration to serve you a better result. Some ERP systems, such as Dynamics NAV, are specifically designed to allow easy extensibility and customization.
6. Integration
If your business relies on specific software, such as Microsoft Office/Outlook or any other software, picking an ERP system that integrates with your existing software can save you both time and money.
7. Reporting
You need to be evaluating the reporting needs depending on business processes to decide the potential ERP solution.
Below are the important factors to consider when choosing the right system.
- Which trends are going to monitor over next five years?
- What kind of information, do you need to retrieve?
- What type of analytics do you need to access?
8. User Training
ERP systems involve big change for people, and the system will not do you anything good if people do not understand how to use it effectively. Therefore, spending time on money on training, change business processes (if required), etc. is crucial to any ERP project. Without adequate training to end user, it is very risky to rollout the new ERP system.
ERP industry giants SAP and Oracle have both recently
rolled out their latest business solution platform implementations in HANA and
R12, respectively. These technologies were both built to serve the higher
purpose of increasing the productivity and profitability for clients using
them. As with any new technology, the long-term viability of these platforms
will be judged on their ability to boost an enterprises’ bottom line.
Multiple factors get
thrown into the equation when determining the value of implementing any new
technology. First and foremost, is the ROI (return on investment) worth the
change? Undoubtedly there are costs involved with the initial implementation
and ongoing maintenance once the new technology is up and running, but at the
end of the day, streamlining HR, Finance, and other back-end processes is
needed to maximize efficiency and increase company profits.
So let’s take a look at
the early returns from both HANA and R12.
The new rollout from
SAP, HANA, is essentially a brand new design from previous platforms offered by
the company. From the outset SAP has been touting HANA as the platform of
speed. The in-memory platform gives users exactly what they want, the potential
of real-time analytics while not having the requirement for redundancy of data
because of its unique architectural setup (HANA was built to run as a single
operating database instead of multiple databases).
Along with increased
speed, HANA offers users a bevy of other valuable features. These include, but
are not limited to; increased functionality, less coding, and overall lower
cost of ownership for the platform. For more tech-specific information on SAP
HANA, visit their website here.
How has HANA been
accepted by the tech and business community? According to SAP documentation,
HANA has approximately 2,000 customers globally. Another advantage of this
system is that applications from the HANA platform are adaptable, meaning
certain elements can run on other platforms. That being said, their goal is
turning as many of those current users and customers into fully vested users of
the entire SAP Business Suite.
If speed is the name of
the game, Oracle won’t yield market share quietly to SAP HANA. Not to be
outdone, Oracle has recently announced their own “in-memory” option that will
run analytical and transactional applications faster and will be available
through their 12c database (TimesTen software has previously had in-memory
capabilities as well).
R12 also offers Oracle
users a long list of upgraded features and capabilities over previous releases
(11i). Benefits of using this upgrade have been shown to increase platform
stability, security, and overall performance of the entire EBS. All of that is
one thing to tout, but Oracle also stresses the upgrade because R12 runs on the
same stack as Fusion Applications (Fusion Middleware). According to Oracle, the Fusion Middleware platform is designed
for the enterprise and the cloud and enables the ability to create and run
agile, intelligent business applications while maximizing IT efficiency through
full utilization of modern hardware and software architectures.
So which is better and
are the new releases worth the upgrade? That’s a question of preference as the
two platforms are considerably different in terms of architecture, software,
hardware, and overall cost. To answer the “are they worth it?” question... any
new technology will hold significant improvements over previous models aimed at
simplifying and streamlining the way business is run in today’s environment.
FINANCE FUNCTION FAILING TO FULLY EXPLOIT TECHNOLOGY
Chief Financial Officers (CFOs) and the finance organisations they lead have yet to fully exploit emerging technologies to better support the business, says a new report from ACCA (the Association of Chartered Certified Accountants).
The report, Is finance function technology delivering on its promise?, which gauged in-depth views from finance executives across a spectrum of businesses, including Shell, Aviva, Kimberly-Clark, Deloitte, Accenture and others, suggests the finance organisation is not using technology to its full potential and, in turn, could be missing out on bringing more value to the enterprise.
Jamie Lyon, Head of Corporate Sector at ACCA, said: 'The problem is not necessarily that technology isn’t available, but there are many reasons why finance has not yet reached tech nirvana. The reality is for most finance functions the technology landscape is still complex and fragmented with multiple ERP, continuing work-arounds and bolt on applications. But this report suggests there are bigger issues too. It is about behaviours, vision and culture in the finance function to go that step further and really push for technological change.'
He adds: 'Of course it isn’t true to say that finance technology has been standing still for the past 10 years. Leading companies have deployed technology to improve finance service delivery to the business, but the primary focus has really been around cost, efficiency and quality in transactional finance, and driving standardisation and improving controls.
'However, concepts such as self-service finance, or eliminating the need for people in transactional finance processes through greater technology deployment, continue to prove elusive. We’d also question whether there is a greater opportunity for business process outsourcers to bring more finance technology innovation to bear.'
The report suggests the real opportunity CFOs have is to champion the adoption of transformative technology and predictive capability tools to support decision making. However, for all the aspirations that finance may have around the value and insight agenda, this remains a work in progress for most.
Deborah Kops, principal at Sourcing Change and co-author of the report, said: 'Finance can, through technology, eliminate its preoccupation with processes. Harnessing technologies that mine data for patterns means the function can become a game changer for business. Finance leaders have tended to rely on their technology colleagues rather than members of their own teams to plan their technology ‘roadmaps’.
'The Chief Information Officer’s team is either consumed with implementing the latest version of ERP, or with identifying and installing the newest customer-facing social and mobile technology that isn’t really touching finance. This means the technology needs for finance get little attention when it could transform the function for the better.
'We should also acknowledge that the application of technology has the potential to change further what a finance career means. If technology increasingly automates transactional finance and is also able to mine insights at the same time, it will change what it means to be a finance professional as well as the capabilities needed.'
Source : accaglobal.com
BIG DATA
Dealing with the data :
Challenges faced by today’s businesses is around identifying the information that is valuable and turning it into ways that any stakeholder, whether business user or data analyst, can use it to maximize productivity.
The various data related terms are as below:
Data analysis
Data analysis is the process of studying and summarizing data with the intent to extract useful information and develop conclusions. Data analysis is closely related to data mining, but data mining tends to focus on larger data sets with less emphasis on making inference, and often uses data that was originally collected for a different purpose. In statistical applications, some people divide data analysis into descriptive statistics, exploratory data analysis, and inferential statistics (or confirmatory data analysis), where the EDA focuses on discovering new features in the data, and CDA on confirming or falsifying existing hypotheses.
Data governance
Data governance encompasses the people, processes and technology required to create a consistent, enterprise view of an organisation's data in order to:
· Decrease the risk of regulatory fines
· Designate accountability for information quality
· Improve data security
· Increase consistency & confidence in decision making
· Maximize the income generation potential of data
Data management
Data management comprises all the academic disciplines related to managing data as a valuable resource. The official definition provided by DAMA is that "Data Resource Management is the development and execution of architectures, policies, practices, and procedures that properly manage the full data lifecycle needs of an enterprise." This definition is fairly broad and encompasses a number of professions that may not have direct technical contact with lower-level aspects of data management, such as relational database management.
Data mining
Data mining is the process of sorting through large amounts of data and picking out relevant information. It is usually used by business intelligence organizations, and financial analysts, but is increasingly being used in the sciences to extract information from the enormous data sets generated by modern experimental and observational methods.
It has been described as "the nontrivial extraction of implicit, previously unknown, and potentially useful information from data" and "the science of extracting useful information from large data sets or databases." In relation to enterprise resource planning, according to Monk (2006), data mining is "the statistical and logical analysis of large sets of transaction data, looking for patterns that can aid decision making".
Data transforms
Data transforms is the process of Automation and Transformation, of both real-time and offline data from one format to another. There are standards and protocols that provide the specifications and rules, and it usually occurs in the process pipeline of aggregation or consolidation or interoperability. The primary use cases are in integration systems organizations, and compliance personnels.
What is Big Data?
The basic idea behind the phrase 'Big Data' is that everything we do is increasingly leaving a digital trace (or data), which we (and others) can use and analyse. Big Data therefore refers to that data being collected and our ability to make use of it.
The big thing about Big Data is in the kind of data we can analyze. It used to be that data fit neatly into tables and spreadsheets, things like sales figures and wholesale prices and the number of customers that came through the door.Now data analysts can also look at “unstructured” data like photos, tweets, emails, voice recordings and sensor data to find patterns.
How is it used?
Most people have some idea that companies are using big data to better understand and target customers. Using big data, retailers can predict what products will sell, telecom companies can predict if and when a customer might switch carriers, and car insurance companies understand how well their customers actually drive.
It’s also used to optimize business processes. Retailers are able to optimize their stock levels based on what’s trending on social media, what people are searching for on the web, or even weather forecasts. Supply chains can be optimized so that delivery drivers use less gas and reach customers faster.
But big data goes way beyond shopping and consumerism. Big data analytics enable us to find new cures and better understand and predict the spread of diseases. Police forces use big data tools to catch criminals and even predict criminal activity and credit card companies use big data analytics it to detect fraudulent transactions. A number of cities are even using big data analytics with the aim of turning themselves into Smart Cities, where a bus would know to wait for a delayed train and where traffic signals predict traffic volumes and operate to minimize jams.
Receivables Management
High radius is a cloud-based integrated receivables software designed to automate manually-intensive tasks, streamline communication, and allow standardization of processes. The company's integrated receivables platform optimizes cash flow through automation of receivables and payments processes across credit, collections, cash application, deductions, electronic billing and payment processing, enabling customers to leverage machine learning for accurate decision making and future outcomes and allows suppliers to digitally connect with buyers, closing the loop from supplier receivable processes to buyer payable processes as well as to optimize cash flow, reducing days sales outstanding (DSO) and bad debt and increasing operational efficiency
Compliance Management
A lot of compliance management tools are available which put together all the required compliance's and the actual compliance particulars.

Vendor Invoice Management
OpenText Vendor Invoice Management (VIM) works with SAP® ERP to
streamline accounts payable (AP) operations. VIM optimizes and simplifies the
process of receiving, managing and monitoring invoices for AP personnel and
vendors.
Most companies strive to achieve a “no-touch” process, where the
invoices go straight from validation to posting. However, one of the challenges
to automate is the tax code assignment since this can’t be captured from the
invoice. The available Automatic tax code determination for invoices solution
developed by Deloitte Belgium enables you to:
·
Significantly reduce the time for retrieving the correct tax code.
·
Automating the tax code determination by handling possible
scenarios.
·
Assigning tax code to all line items of your invoices with minimum
human intervention.
Vendor invoice processing is more and more automated, but do you
feel your tax process is robust enough? Deloitte helps you in building the
necessary indirect tax controls.
·
Controlling that the invoice is legally compliant and allows you
to route invoices depending on established business rules to appropriate user
or group of users.
·
Taking all necessary elements to allocate a tax code to all line
items.
Solution: indirect tax
controls
·
By making use of the
full potential of the possibilities in VIM, Deloitte has combined their Tax
expertise with OpenText technology and developed a logic to include Indirect
Tax controls within the AP process. Based on a combination of the data read
from the supplier invoice during the scanning process, the master data and the
transactional data, our logic will route the invoice to an exception flow in
case certain legal requirements are not met.
·
If needed, new and
custom checks can be developed to meet all business and tax requirements.
Solution:
Automatic Tax Code Determination
·
The Automatic Tax Code
Determination for invoices solution by Deloitte has the objective to assign a
correct tax code to each line item of PO and non-PO invoices using master data
and PO data (for PO invoices) similarly to other existing logics. The added
benefit of Deloitte’s logic compared to traditional tax code determination
available in SAP is that invoice data is also used in the determination logic.
This means that data which is only known at time of invoice receipt is also
taken into consideration (e.g.: the actual location where the supplier is
delivering from).
·
In our logic there is a
standard set of data elements to take into account during the determination
process (e.g.: bill from, bill to, ship from, ship to, material, incoterms,
etc.). This data set can be limited or extended with other elements dependent
on the company’s needs.
·
In order to support
companies from a global perspective, we also foresee integration with tax engines
such as Vertex, ONESOURCE, etc.
Robotic Process Automation
RPA is the automation of a wide range of administrative, back office or process-centric tasks, by using specific software algorithms that mimic the decisions and actions of humans.RPA automates rule-based processes. Just think of it as a ‘robot’, or algorithmic software, mimicking key strokes a human might preform on a PC, to complete a repetitive task. For instance, with technologies already available today, you might program a robot within an Insurance Firm to assemble all the information required to process a claim for a customer. The robot would find the data, organize it, present it to the user — and even make a recommendation concerning the claim, if the process was strictly rule-based.
RPA is different from RDA used in call centres