Saturday, 26 November 2016

5 Differences Between Reporting And Analysis

Difference Between Reporting and Analysis

In an era where digital technology is the biggest factor that plays a very vital role in any business, it is very important for the organisations to know how to use the wealth of big data in order to stay ahead of competition. You must have noticed that many companies seem to consider reporting and analysis as the same thing. When we are talking about an organisation, bother these processes are equally important. But you need to remember that of them are very different from each other and not only by spelling.

If you are not being able to distinguish between the two then you are selling your company short. This means that you will not be able to reap the benefits of having utilised each of these processes. The most important core element of all these different processes is the data or big data. While reporting is the process of generating information from the data, analysis is the process of summarizing the reports in order to come up with different recommendations and strategies. Here are five main differences between the two.

Purpose
When you have a cluster of data that needs to be made into something structured and substantial, you end up using the techniques of reporting. Reporting essentially revolves around converting the data into information. When you are extracting reports out of a system you are making sure that you enter some correct set of data that will get converted into some structured information. Analysis is using this information to provide recommendations. When these recommendations are used by the organisation they are helping the company to prosper.

Tasks
Reporting includes organizing, consolidating and summarizing the data so that it becomes easier to be studies. When it comes to analysis you are essentially examining, questioningand interpreting the data in order to come up with recommendations? If you are using big data, then you can use it to make predictions as well.

Output
Analysis uses the pull approach in order to transform the data into proper information. But when it comes to analysis, it is actually using the process of pushing, in order to come up with solutions. So if you are looking to differentiate between the two with respect to output, then they are two completely different things all together. You need good reporting for meaningful analysis.

Delivery
Reporting will include a lot of repetitive tasks while analysis is very unique in each attempt. When you are creating some stand reports you can be sure that you will be able to create them based on some specific steps. But when it comes to analysis you need to study the information in different light each time.

Value
Each of it will add a very different value to the business. It can be summerised that it is dispensable to go without any. You need to make sure that your organisation has both strong reporting and data analysis teams that will help your company to improve. Make sure that you pay equal attention to both of these processes so that you are able to take your company forward in this competitive world.

Beamsync Institute is providing analytics related training courses in Bangalore. Beamsync offers business analytics, data science and R tool training. If you are looking for courses in Bangalore please visit: http://beamsync.com/business-analytics-training-bangalore/

Saturday, 5 November 2016

How It Works: Analytics Explained In 5 Minutes

Quick Study to Analytics

If you are trying to connect looking for baseball glove in a dark closet to searching for a summer bird in the high tress, then you are bound to lose track as there is simply no similarity between the two. This shows that if you are trying to implement the same method in two different environments and for two completely different objects, and then you are bound to lose tread of what is the actual requirement. If you can relate this nibble of information in the working of any organisation, then you will notice that the same kind of tools and techniques cannot be incorporate in the different environments as different types of information resides in different formats.

But what if we tell you that there is a way to tap into this information in order to provide lucrative offers for the company? Or more important, if you are able to inject some form of certainty or even predictability in your organisation or the decisions taken by the organisation. With the use of the different analytical softwares, you can now find amazing answers to these questions. Once you have a good answer, you will be able to use those tips to customize the information in order to gain a better insight of the organisation.

Decision making is an art. Most companies have a specific set of formulas based in which they take all their decisions. There are many different patterns that you can follow if you are to know exactly what would be the way to take a decision regarding anything particular. You can be sure that by forecasting the future, you will actually be helping your organisation to function better in the long run.

If your company was able to get access to all the information that will help you to take better decision and make sure that the predictions are correct, then you will be sure that the company will definitely do well. At the same time, not only do you get all the information that you require but you are actually making sure that all the information is safe and secure as only the right people will be able to access it.

Let us assume an example. If you are to retain your customers the customer satisfaction is the most important thing. In order to optimize the customer satisfaction, you need to make sure that you are able to understand exactly what they want, what their needs are and what the exact buying pattern is of these customers. You will get a clear idea of all these things if you study the customer demography and then utilise data analysis to get information regarding the insight of purchasing history of the customers and their buying patterns. This will help you to gain a competitive edge.

Using proper technology and having the resources to analyse the data properly is one of the most important thing that aids in the proper functioning of a company. You can be sure that proper data analytics will be able to help your company move forward in this competitive world.

Visit Beamsync, if you are looking for business analytics training in Bangalore. At Beamsync, you will get training for business analytics, data analytics, data science and R tool.

Tuesday, 4 October 2016

The Business Benefits of Web Analytics

Benefits of Analytics in Business
In veracious terms, Web examination is the investigation of online conduct so as to enhance it. One should begin with a case to see how web examination as an answer can quicken the marketable strategy. 
Firstly it recognizes those referral sources that produces most income for the business. Apart from that it also reveals the data like which nation the clients are from, which internet searchers they utilize, what point of arrival the clients lands and so on. In any case, getting the clients to the site is only the initial step. A definitive point is to get those clients to see the item as well as to purchase the item. 
A web analytics arrangement can help in comprehending the web information to gain new visitors, guest behavioural examination; search terms/web indexes, pages that are cited by most, and so on.
Web examination can help to investigate the different key execution markers that drive the business by observing the following;
  • Sources like the web search tool, successive keywords and referral destinations.
  • The quantity of exceptional guests who visit the site and the sessions they make on the site.
  • The quantity of site hits and time spent on the page.

Utilizing web investigation, a business can likewise: 


  • Enhance their ROI by doing behavioural analysis of visitors after some time.
  • Comprehend their customer demographics.
  • Track different measurements like Click-through rate, number of transformations and sort of referrals.
By comprehending the above measurements and the experiences that they give, organizations can enhance their advertising arranges. One can likewise chop down the expenses by just promoting the items on income creating referral destinations. 
There are numerous free web examination instruments that you can utilize. A portion of the more famous ones are listed below;

Google webmaster is one of the best routes to understand the conduct of the visitor and number of followers on the web crawler activity. It additionally gives the examination report of the activity that is originating from web indexes. 

Sitemeter gives a counter for ongoing activity on the site. 

CrazyEgg makes a resourceful mapping of the visitor which helps to discover about the snaps and visits of your perusers to various parts of the site. 

StatCounter is a free web activity system which gives free hit counters, guest following, and so on. 

Compete is one among those best devices that helps to Compete with different locales by giving the points of interest on one of a peculiar guests, alluding webpage sources and internet searchers keywords terms. 

Alexa gives all bloggers and website admins absolutely free activity analysis reports. These reports incorporate pursuit analysis and demographics of the web activity.
Various other tools broadly utilized are Google Analytics, Quantcast, Webtrends and Omniture
Web investigation can enhance the main concern in the market. It's anything but difficult to utilize, not that costly o execute and it can really give a complete picture of the clients, empowering to serve them in better and more focused on ways.

Beamsync is top training institute for all kind of analytics courses in Bangalore. If you are looking for Business analytics courses in Bengaluru consult Beamsync. You also get training for data scientist, tableau, R tool along with analytics courses.

Wednesday, 3 August 2016

Implementing analytics as solution for business problems?

Using Analytics to Solve Business Problems
In a recent panel discussion estimation was made by the vendors. The discussion was held in the Gartner Business Intelligence and Analytics Summit. The estimation that was made stated that near about 70% of the total analytic projects horribly manage to fail in meeting of the expectations. But this kind of failure can be just not accepted following the fact that this industry is purely based on maths and science.

How are the analysts responsible for the failing?
The following points can be considered:

1.No planning: if an analyst doesn’t have enough time for planning, it is evident that it will fail. Understanding and then executing of the plan is necessary. Planning helps one in finding the exact process.
2.Not clearing of the doubts: if people decides to keep the unfinished business just like that then definitely that will not provide solution. Before paperwork clearing of any doubt is necessary. Clarifying makes things easier.
3.No clear implementation process: if one has managed to plan and design the thing perfectly yet do not know that what is the actual way of implementing then it will not be fruitful enough.

How are the stake holders responsible for failing?

The following are the reasons why they fail:
1.Buy in that is limited: ensuring the fact that the buy in is complete from the customers is the way one can assure of the project being marvellous. The stakeholders fail at understanding this point.
2.No proper liaison: the stakeholders do this a lot. They forget to or desperately manages to avoid any interaction with the analysts and this is completely necessary to do. Maintaining a proper liaison is the best that they can do for the stake holders.
3.Rushing the review of scope document: if the review of the BRD is not proper then definitely the analytics will fail. People can do nothing to stop the same. A BRD review should be very much maintained line by line.

How to ensure the successful implementation?

The following points will help in a lot many ways:
1.Planning: The more one decides to concentrate on planning, the better it is for them. Give it a proper amount of time so that the procedures of the business can be well understood. Also understanding the requirements of the business is the best way.
2.The stage of business undertaking: enough time should be taken in understanding all the stakeholders. Their perspective is definitely the main thing. Meeting their requirements is necessary and that should be taken care of. Do everything that is necessary for the.
3.Stage of analytical modelling: all the business hypothesis and their exact knowledge is needed for this. One should spend enough time with the stake holders so that they can get the job done perfectly. Also one shouldn’t restrain their thought process.
4.Stage of implementation:one should check with the preceding stages and then start with this. Updating the stakeholders should be done. if the implementation somehow doesn’t seem to work then check with what changes can it work.

These all will help in better implementation of the analytics for business solutions.

Along with the growth of analytics, there huge job opportunities in this industry. Beamsync, one the top training institute for business analytics in Bangalore. If you are planning to learn analytics courses consult Beamsync.

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Friday, 24 June 2016

Top Reasons to Learn Banking Analytics

The data analytics can be called as the new world job. With the retail industry even there is no particular difference. There are many ways a data analyst helps the world of banking. The analytics software helps the bank with their advanced technologies.

Reasons to Learn Banking Analytics

With their utility that is bases on the cloud it can be really helpful in the long run. The various tools used for the analytics are helping the banks by helping them acquire the market. This is done by conversion of the data into the knowledge which helps in the process.

It also helps in the acquiring of the capabilities which helps in differentiation of service.

If the retail job is the only hope that one finds establishing their career in then definitely analytics is for them. They need to get trained in it. The reason why one should definitely do analytics is explained in this article.

  • An immense growth in career: The area of banking is a huge one. In the year if 2015 it was well proved that the usage of analytics in banking and credit unions was much more than any other field. They sued these analytics to easily reach the crowd and target their audience.  They managed to make the approach personalized too. The customer analytics is one of the most important part of any retail banking. It is a notion that within 5 more years the banking industry in India can be the world’s fifth in number.
  • The Shortage of required talents: The main reason why learning the banking analytics can be helpful is the fact that there is a shortage of the talented people in this particular field. Globally the banks are looking for talented personal in the field of banking analytics. People who can actually be extremely knowledgeable about the technical field and can avoid the mistakes like a pro can be helpful. The shortage of this accurate staff is the reason why the people should choose to study the same.
  • The importance of customer intelligence: The general or the standardised marketing is something that involves in the branding and getting new customers for the company. The banking analytics is something that is more than that. The analytics is something that involves in the customer intelligence. In this process they help build a better atmosphere for the customer by using the internal and external bank data. 
  • Importance of the risk management: The importance of risk management in the banks are increasing on a daily basis. The banks are need of the systems that can handle the on-demand requests and thus they need the analysts to take care of the same. With the increase of the risk management the banks are now in need of trained and seasoned analysts who can help them overcome any kind of complicated difficulty that may arise.


The world is changing and so are the marketing strategies. People should understand the need of the banking analytics and also know that how are they going to turn their life into something positive.

Beamsync is providing Analytics Courses in Bangalore along with R tool training. If you are pllaning your career into analytics field visit Beamsync.

Thursday, 26 May 2016

How Do Companies Use Data and Analytics?

Organizations these days have more than enough data. However it is easy to convert knowledge into action. Many big organizations are using data and analytics. They use it in informing some decisions both operational and strategic. The article throws some light into the process.

How do companies use data and analytics

The challenges faced to adopt analytics

The greatest challenge, according to a leader, is to learn from a culture while evolution. There are cultures which use heuristics in decision making. There are also some which are objective and data driven. Power of data and technology is what becomes the major concern and not really the cost. The power of fear is quite huge and not to be taken lightly. You have to think and act differently in this era. Asking questions about your roles is the ongoing trend. Your mind set needs to be more dynamic and oriented to learning. A rigid mind set is harmful for the sustainable health of any large or small company.

To capture the impact

The charter of an organization needs to be seen first. The aim of the function within the organization has to be specific. Interact with the broader business should be the major goal. Having a fairly focused view around support on traditional functions is what many companies do. There are also some other organizations with a broader business view. Defining that would help to get the best information. The structure and forum would be set to a more granular level of operation. This operation includes training, recruitment and the rest. Everything else shall fall into line once the alignment of the kind of business you are about to do is set.

Some examples of the impact

What matters most is starting with the customer experience. There are a large number of very complex products in the customer care centers these days. You face complex potential problems or solutions with the simplest products. Thus the workflow becomes complex. Simplifying this customer relationship becomes important. Big data techniques are used for analyzing all the different permutations. Turning complexities into something simple and actionable is a big thing. Optimization should not only be taken for the customer care but also for the network.

How to win the talent war?

Steep is the competition for analytical talent. It is difficult to preserve and maintain a base of talent within an organization, more after viewing it as a core competency. The focus should be to develop a platform that speaks to a value proposition especially for individuals with a career prospect in mind in this field. Using terms like opportunity will affect the outcomes of the business and a wide range of analytical exercises will be challenged regularly. Competing in the marketplace is a critical thing for a business. You need to have good training programs. Specific forms of interaction with the senior team are also important along with being a part of the planning process.


To develop the right expertise

Without talent a data is meaningless as it is the differentiator. The right talent will find the right technologies and solve the problems. Some companies have the legacy of using advanced techniques from the labs. There are mainstream talents across the country complete with advanced engineers and managers of all levels who want to develop their talents. Many companies deliver over 50,000 big data related training courses. Developing skills with tools to maximize their productivity is a stepping stone.

Beamsync is providing business analytics training in Bangalore. If you are planning your career into analytics field, then consult Beamsync and schedule you're training classes.