7 Steps to Start a Business

The idea of starting your own business is inherently romantic, if not exhilarating: You get to run the show, flesh out your ideas, and live your dream. But where do you begin? Here are seven smart steps to get you started – and help improve your chances of success.

Come Up With a Concept

What’s your idea? Is it profitable and something you’re passionate about? Would others consider you an expert in this area and seek your advice? What kind of funding do you have? Will you partner with someone or go solo? When you can determine all these things, then you’ll be off and running.

Know Your Competition and Market

Do your research. Learn about the industry you’re entering. Who are the leaders and what is their USP – Unique Selling Proposition? Then figure out what yours is. Next, get to know your target customers with questionnaires, surveys, and interviews. Find out what they want. You might also conduct a SWOT analysis, which stands for strengths, weaknesses, opportunities, and threats. After you synthesize and analyze all this data, you’ll have a clear picture of how your business will take shape.

Create a Road Map

You don’t go on a trip without a guide. Starting a business is no different. In your roadmap – or business plan – you’ll want to generate a comprehensive picture of your business, which includes everything from an executive summary and market analysis to a mission statement and financial plan. Other items to include are a marketing plan and an exit strategy. When your business plan is complete, you can share it with potential investors and banks. Here’s a free simple business plan template you can use as a blueprint.

Choose Your Structure

Will you be an LLC (Limited Liability Company), LLP (Limited Liability Partnership), Sole Proprietorship, or corporation? There are pros and cons to all of these. In addition, you’ll want to name your business, and come up with your DBA (Doing Business As). Then, you’ll register your business, apply for an EIN (Employee Identification Number), and get the right licenses and permits.

Organize Your Finances

Open a business bank account – you’ll need your EIN when you do this. If you sell a product, you’ll need either a bookkeeper or good accounting software. Then determine your break-even point. What are your startup costs? What kind of supplies or professional services will you need? Will you operate out of your garage or rent a space? Here’s the equation to follow: Break-Even Point = Fixed Cost/Contribution Margin.

Fund Your Business

Knowing your break-even point, how will you fund your business? Do you have money saved? Do you have credit cards to use? Do you have cash from friends and family? Small business loans, grants and lines of credit, angel investors, venture capitalists, and crowdfunding are other solid avenues you can explore. Finally, consider buying business insurance to make sure that if something goes wrong, you’re covered.

Market Your Company

After you’ve acquired all the right tools like accounting software, email hosting, and a credit card processor, you can hang a shingle and get the word out that you’re open for business. Bobby’s Bagels is now serving! You’ll need a website that explains everything you offer, as well as an e-commerce component. Then you’ll want to optimize your site for SEO and create content that is relevant to your target audience. The last step is creating a social media strategy.

All these steps are high-level. When you’re in the process of gathering everything, you need, other details will emerge. Starting a business might be hard work, but it will allow you to become your own boss and, best of all, realize your dream. Remember, you’ll never work a day in your life if you love what you do.

Sources

https://www.forbes.com/advisor/business/how-to-start-a-business/

How To Use Natural Language Processing to Improve the Efficiency Of Accounting Processes

Natural language processing (NLP) is a technology that allows computers to understand and process human language. Processing of natural language is necessary when you want an intelligent device to follow your instructions. NPL is an artificial intelligence (AI) component with many real-life applications.

As technology advances, business leaders have to figure out how to tap into the new trends to remain relevant, stay ahead of the competition, and meet consumer expectations and needs.

How NLP Works in Brief

NLP involves making computers perform tasks with the natural language humans use. The input and output can be spoken or written text. NLP combines computational linguistics – rule-based modeling of human language – with statistical, machine learning, and deep learning models.

NLP aims to build machines that understand and react to text or voice data and then similarly respond with text or speech as humans do. Examples of NLP in real life include voice-operated GPS systems, personal assistant apps, speech-to-text dictation software, and customer service chatbots.

As businesses seek better ways to improve efficiency, NLP is one technology promising huge rewards for enterprises dealing with vast quantities of unstructured text. In accounting, unstructured data include transaction descriptions, invoices, written communication, etc.

The use of NLP is growing significantly in enterprise solutions designed to help streamline business operations. Large companies such as Deloitte, Ernst & Young (EY), and PricewaterhouseCoopers (PwC) have implemented various NLP solutions. A good example is Deloitte, which incorporated NLP into its Audit Command Language to improve contract compliance.

How NLP Can Improve the Efficiency of Accounting Processes

Areas in which NLP helps improve efficiency include:

Forensic Investigations
When CPAs want to perform forensic investigations, they have to deal with significant amounts of data from documents such as bank statements, transaction data tables, and data found in emails or deposition transcripts. Analyzing all the data as they try to look for specific patterns or gain insights is challenging. However, the application of NLP can be helpful in the investigative analysis process. NLP using algorithms can identify patterns automatically and reduce the time it would have taken to analyze the documents.

Accounting and Auditing
Auditing is challenging due to the process of reviewing financial statements and ensuring they match regulations and legal standards. Auditors must have excellent analytical and decision-making skills to spot inaccuracies in financial statements. However, NLP helps to optimize the auditing process.

Financial Analysis and Automated Generation of Financial Reports
NLP can automatically extract financial data from balance sheets, income statements, and cash flow statements. This can cut down on time and error-prone work. At the same time, it can obtain insights from massive financial data sets and financial reports. This enables accountants to make data-driven decisions and quickly identify trends and patterns in the data; hence, making it easy to guide clients on investments and household finances.

Automated Data Entry
NLP can be used to extract data automatically from unstructured text documents, including bills and receipts. It also can be used to automate the entry of data from tax documents and input it into accounting systems. This can cut down on time and error-prone work.

Improve Centralized Data Management Solutions
Incorporating NLP in accounting and procurement helps improve the ability of a centralized data management system to collect and integrate data from different sources. This enables standardization and collaboration. Additionally, the data provided has higher-quality insights. As a result, there is better financial planning and improved risk assessment and management.

Customer Interaction
NLP can be used to enhance the effectiveness of customer interaction. This is done by automating the procedure for responding to client inquiries such as concerning invoices, payments, and account balances.

Conclusion
Natural language processing is proving to be a powerful technology that can help improve the efficiency and effectiveness of accounting processes. As it continues to evolve, it will likely become an increasingly important tool for accountants and other financial professionals. Most importantly, these advanced technologies take care of manually reviewing unstructured data. This helps businesses scale and – at the same time – reduce costs.