Saturday, September 1, 2018

You Can No Longer Ignore Data Analytics

What do you mean by Data Analytics?
Data Analytics refers to the process of collecting, organizing, interpreting and extracting the useful insights from the raw facts and figures in the huge amounts of data generated by a business on a daily basis. The main responsibility of the data analyst is to translate the burgeoning data into useful perceptions and then into valuable information, assisting the organizations to make smart decisions based on data instead of relying on instincts.
How important is Data Analytics?
In today's world, accumulation and storage of the massive amount of data streaming into an organization's databases has become a concern. Volumes have increased to millions and millions of gigabytes. Companies have moved far from just directories, datasheets, and documents.
But at the end of the day, it is almost impossible to analyze and interpret all this data. This data includes not only text but videos, photos, sound recordings and sensor data.
The data streaming into an organization's data warehouses is increasing at an exponential pace and is expected to grow by up to 50 zettabytes by 2020. A zettabyte is over 931 million gigabytes! Each and every action we do online leaves a digital trace. Every single action we make when we go online such as online shopping, chatting with the friends through social media applications or using GPS equipped smartphones generates data which businesses mine for information. We basically leave digital footprints with every action we take digitally involving the use of the internet.
The amount of data generated is growing rapidly and this requires the use of advanced technology and tools specifically designed for the analysis and interpretation of this enormous amount of data. This is where data analytics come to the rescue. The thorough and in-depth analysis of this "Big Data" requires the use of data analytics software such as Python, SAS, R and Hadoop which were developed specifically for handling Big Data.
Data analysis using these tools with mathematical and statistical algorithms will further assist an organization with developing good decision-making processes and allow it to respond to customer queries rapidly, resulting in an increase in goodwill for the organization. The high accuracy in Big Data analysis also ultimately helps the organizations to increase profits and lower costs.
Developing new products based on ongoing market trends can be done only when Big Data is accurately and precisely analyzed. Customer satisfaction matters a great deal if a business wants to be successful and popular with its target audience. The market trends and customer preferences must be analyzed properly and specifically so as to develop products which are trendy and acceptable to the target audience. The data findings may even assist companies in taking advantage of new market revenue opportunities and ultimately improve customer satisfaction, thereby enhancing the operating efficiency and profitability of the company.

Why Are General Cleaning Services Important for an Office?

We all know that it is important to maintain the cleanliness of an office. A clean office creates a good impression on your visitors, whether they are your vendors, clients, etc. A neat and well-maintained office provides a hygienic environment for your employees. However, irrespective of the size of the office, maintaining cleanliness can be a daunting task. Fortunately, there are professional companies that offer general cleaning services for the upkeep of the office.
Why is cleanliness important for an office?
Productivity increases
If an office is neat and clean, employees are less likely to fall sick. This reduces the number of sick leaves by employees in the organization leading to better productivity.
Creates a Good Impression
A clean office is impressive to clients. It could help your business grow by attracting more clients and retaining old ones.
Motivates Employees
A hygienic environment motivates the employees to give their best performance.
In order to ensure that the cleaning is carried out on a regular basis, it is a good idea to hire a professional company. These services can be hired on a daily/weekly/monthly basis. The professional cleaners maintain neatness of your reception area, restrooms, kitchen area, etc. The general cleaning services ensure that all the dustbins are emptied and all surfaces dust-free. Even the carpets in the office need to be vacuumed regularly to maintain them.
Benefits of hiring general cleaning services for your organization:
• Regular Services
A general cleaning services company ensures regular cleaning of your premises. On the other hand, if you have your own staff cleaning the premises, the cleaning may not be regular if your staff needs leave.
• Professional Approach
General cleaning companies have a professional approach. They are experienced in their job and know all the areas to be covered.
• Latest Equipment
Professional cleaning companies use the latest equipment to maintain your premises.
• Safe Cleaning Agents
These companies use cleaning chemicals that are effective and safe for humans. These companies use certified environment-friendly cleaning agents.
• Work at Convenient Timings
They provide officeimings convenient to you. They can clean your premises after office hours so that your working is unaffected.
• Avoid Accidents
An unclean workplace can be a zone for accidents. For instance, if there is spillage in an industrial shop floor, it could lead 

Why Packaging Labels Should Be Clear

It is an age when consumers are the most demanding. When purchasing a product, any customer has a specific set of requirements, which the buyer needs to meet. The requirements of the consumer are based on the kind of product which is being purchased and of course the purpose of use. Thus, it is important that retailers and manufacturers offer complete transparency, especially in case of food products.
Labels are an integral part of packaging. But the important fact is that the labels should ideally serve their purpose. They should offer all that the customers are looking for in terms of information. If the labels are not informative or clear, the manufacturer might lose out a chunk of customers.
Importance of Packaging labels Clarity
Source of Information:
Labels are the only source of information about a product. A label needs to be clear so that the consumer gets all the necessary information needed before use of the product. If there is no such information, consumers might be in doubt and they will lose faith on the product. This is especially important in case of food products, where consumers need to necessarily have some information on the product. This includes information, on the calories, nutrition count, method of use, storage information and more.
This is also most important in case of pharmaceutical packaging. Buyers need specific information related to the product, which includes 'best before date' and composition information. If labels are not clear, customers will not buy the product next time. They will instead opt for another product which offers them complete information related to the product.
Brand Image:
If your package isn't clear and professionally done, your company might lose its integrity. The consumers might have suspicion in their minds about the product since they have no clarity of information regarding different things. It doesn't help the brand image. Besides, consumers never purchase anything unless they are aware of the content. Would you like to purchase a package of cookies if you are not aware of the calories or the ingredients?
Also, having a clear packaging is not enough. You need to know what should be included in the packaging label as per the manufacturer. There is usually no formal definition of what needs to be included in the label. But, you need to include information as per the requirements of Food and Drug Administration authority. Thus, labels which do not offer clear information also mean they are not complying with the safety standards.
If there is a natural product, the label should be clear with information. Such information includes words like 'minimally processed', 'gluten free', 'simple' or natural. If such words are present, the buyers are actually sure that the product is safe for use. Also, there should be certification or logo about the product being safe for use.
Thus, whenever you buy a product, ensure that the product has a clear label. It includes all necessary information about the product. If there is no clear label, it might be possible that the company is hiding something.

The Future of Data Science

If you have a question in mind regarding the future of data science then you are definitely concerned with whether the techniques and tools such as Python, Hadoop or SAS will become outdated or whether investing in a data science course will be beneficial for your career in the long-run. But there is no need for worry. Businesses have only recently begun to realize the worth of their data and have just begun to make significant investment in these areas. So data science careers will be around for quite some time.
HISTORY OF DATA SCIENCE
The history of data as well as statistics is proof of the fact that the transformation of data into useful insights is something which has been happening for a long, long time.
The high-tech data-driven world has forced companies to develop cheaper and more reliable sources of data storage so as to store lots and lots of business data. The extraction of useful insights from this mass of data requires the skills and knowledge base of statistician and programmers. This combination of statistic skills and programming skills can be seen only in the DATA SCIENTIST. The job of data scientists is not only extracting useful insights but extends to designing new tools and techniques for processing and storage of data.
A SECURE AND LUCRATIVE CAREER AS A DATA SCIENTIST
The individuals with right mix of skills necessary for jobs as data scientists will have a challenging career. The job and salary prospects of DATA SCIENTISTS make it an even more worthwhile educational investment for new entrants and professionals in the near term. Data scientists will have a wonderful career in the future as well. The field of data science (machine learning in particular) is not going to disappear but rather outshine other fields. So the future of data science looks promising.
The market for data is regarded as highly competitive. Standing out from the crowd and having an edge over the competition are the two important traits to keep in mind when pursuing your career in the field of data science.
HOW CAN THIS BE ACHIEVED?
A lot has been discussed about the use and benefits of data. But now the question arises regarding how to accomplish training in this field. Professionals can advance their skills and knowledge base by taking classes in data as it is always said that upgrading one's skillset (by way of training, education or any other mode) is the key to a successful career and a bright future. It is always beneficial to be in sync with the latest technology and trends.
THE FUTURE OF DATA SCIENCE IS DEFINITELY GOING TO BE BRIGHTER THAN EVER
But remember, getting into this field is not easy. You will need to have an in-depth and thorough knowledge of all the techniques and methodologies utilized in the field of data science

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You Can No Longer Ignore Data Analytics

What do you mean by Data Analytics? Data Analytics refers to the process of collecting, organizing, interpreting and extracting the useful i...