Finance And Marketing Research




Web scraping is an efficient method for organizations to reduce the workload upon people involved in the analysis and study of data. It involves analysis, storage, and the organization of data regarding specific topics which is found by scanning through digital media and them downloading this information into directories that are stored on computers or in databases.

It is very useful for understanding and collecting financial data as this information would otherwise involve large amounts of research to identify. Financial activities include a number of avenues which can include large amounts of data, and a wide range of activities. Often, the financial activities of a single organization may be handled by a large number of people or units simultaneously. Data scraping makes it easier for the coordination and management of these activities, as well as to maintain clear and ordered records of all data.

Financial activities are one of the central processes which are associated with all organizations and are hence it is vital to have proper management. In terms of research, it is easy for organizations to gather relevant information using scraping. It can be used to understand current trends, reactions of consumers, and analyse what actions and decisions should be taken.


Marketing Practices


Marketing is another key area where organizations can benefit from data scraping. A lot of marketing practices are very dependent on how consumers react to certain actions and behaviors. Moreover, marketing practices are many and varied and there may be different activities which are appropriate for different groups of people. Data scraping can be used to consolidate information about various trends and demands which are found in the market and to use it to analyse how an organization should proceed with its marketing activities. It is even more important in the initial stages of the development of an organization because marketing plays a key role during launch periods. At such times, there is a large amount of research and data analysis which goes into planning their activities. These activities would be highly strenuous and time consuming If done manually. It can also help in greatly reducing the amount of time that must be put into consolidating and coordinating information between various sources. This is a key issue for a number of large organizations having numerous functions, and for organizations that are dependent on current market activities.

Research is in itself a very strenuous process which involves a large amount of attention and precision which is better achieved by using digital methods. Moreover, there are many sources and a large number of further links that may have relations to the same type of information. In these cases, financial and marketing related research can get very complicated and hard to keep track of for individual people. Scraping can greatly improve the quality and quantity of the research as well as help in the simultaneous categorizing and storing of this information. Finally, it is safe to say there is too much information and data relating to marketing and finance which may be needed for an organization and this research can be greatly simplified by using data scraping and related technology.

Data scraping: Jeopardy or bliss for compliance and risk management




Compliance and risk management


Compliance and risk management are closely associated with each other. To differentiate them there is a very thin borderline but, both the term protects the organisation from risk and helps to grow by guesti-mated risk to achieve the goal.” DATA scraping is the process of collecting data/ set of instruction from a website to your pc with a help of a local file. It widely also known as the web scraping OR screen scraping.  To associate compliance and risk management with screen scraping might be the jeopardy or bliss to a company.  The two sides of the coin can only be judged once you know the traits and objective of the company. How well research that web scraping is? Or how the source is reliable for that specific industry?  The biggest question which can come to anyone’s mind is that will taking a risk on this web scraping worth or not. Web scraping itself is already a long time taking the process to understand and learn.

In an organisation, risk factors work in every possible manner. Many big companies have different executive for study and research purpose for their market. Here, web scraping might be helpful to do research and collect the data from the various website. Data scraping will be very helpful to people or officials who can recognize the risk and its fragment for the market and an organisation

DATA scraping is an emerging technology which will help every industry inclined or dependent on data. Compliance and risk management is one of those fields where they have to depend on the data to stay in competition or to become a brand. And institutions need to be careful to not lump. However, understanding their similarities and realising how to align and allowing producing the gains from compliance and risk management being in sync. Compliance and risk management assist as a repository for all rules, regulations, and contracts with tracking and monitoring to study it market culture with help of data scraping. Estimating the truth of prospective data and market of an organisation helps to grow industry with a larger perimeter.  Data scraping with the authentication of data will help each and every industry. The analysis will be more easily executed and taken into consideration. Even the data security plays an important role in risk management and compliance.

Compliance and risk management is an important factor of a business to sustain it demands technology to increase operational values and trustworthy. Web scraping provides an intelligence eye to analysis in the field of compliance and risk management. This eye will help grow the business industry and get a better idea of tomorrow.

Competitive Pricing Intelligence


Competitive Pricing Intelligence Solutions recover product and pricing information from market leader websites including their competitors and change necessary details. It helps an E-commerce business remain one step ahead of the market competition. Pricing tools assemble and screen competitive data shifting it in to intelligence. They draw data at scheduled interval of time with automation – tracking competitor’s online presence. Pricing intelligence contains tracking, monitoring and analyzing pricing data to understand the market to make educated pricing changes at speed and scale. Since product pricing fluctuates randomly, retailers need to continually monitor their relative price position and include changes. However, this doesn’t mean dropping the price just because a competitor does.



Price Intelligence is necessary for retailers, for several key reasons:

  • Increased consumer price sensitivity.
  • Increased aggressiveness from competitors.
  • Increased price transparency.



There are a few steps to apply Competitive Price Intelligence.

The old-style model of monitoring price changes manually is inefficient, time consuming and often inaccurate. The vast amount of existing data makes it more difficult to scale. So, data collection needs to be scalable. As a company grows, its number of SKUs, channels and competitors to monitor grows with it. This is where automation comes in convenient, as the retailer won’t have to repeat those time-consuming and inefficient processes over and over again.  By automating competitive pricing analysis, retailers can obtain exact pricing data in a timely manner. This frees up valuable time and resources, eradicates potential human error, and delivers relevant and accurate information. Data Scraping software help in automating also.

Retailers can make quicker response and decisions depending on the data and outperform their competitors based on market trends and behaviors. Say for an emerging clothing brand, competing with big, established brands, any bit of intel is a big deal. It wants to know which of its competitors sell basic shirts, when, and with what offers and shipping options. Seeing this, the emerging cloth brand can offer something similar, or be more creative to persuade the consumers to buy the brand or make a switch.

Pricing intelligence is nothing without immediate action. If a retailer collects a heap of data about the price of sweaters in December, but analysts review the data in May, it is way too late. On one hand the prices are irrelevant five months later, and on the other hand, no one is going to buy sweaters in the middle of summer. Retailers need to act on data as and when the market changes, not six months later. If a retailer notices a spike in sweater sales in December, it needs to react at that time. It does not matter if it’s creating its own sale or sending out promo deals and coupons. The benefits of acting on more accurate data faster can mean an increase in sales and getting new customers.

So, it’s necessary to implement a dynamic pricing strategy that can swing based on the latest and greatest competitor visions. Retailers should use pricing intelligence to manage its relative price position in the competitive market, anticipate margin pressures, and boost revenue at the same time. If it doesn’t, it’s certain that its competitor will.