World is moving to the digitized platforms and this digital approach is also giving a strong way to the intruders to enter any digital network and violate the data stored in that specific network. In present world, every single digital network is at a high risk of malicious activities. To maintain the privacy of the network we require robust solutions that safeguard our networks by providing alerts timely. Big data analysis is one of the most potential solutions that help various businesses in safeguarding their networks. There are a wide range of data protection solutions offered by the big data which is far beyond the limit of computer monitoring and other traditional network securing solutions.
Unusual data: Data types are now limitless and the combination that it figures out is more complicated making the output unusual and unexpected. To understand the countless combinational patterns and make it viable for various uses we require a potential platform that frames the possible combinations, detects all unusual data and make it easier for the user. Unusual data are distinguished into three situations, i.e. unusual combinations, unusual data with respect to the group, and unusual values.
Big data is a hot topic in the world of marketing. When you talk about marketing, the sector reflects a lot of challenges and fewer opportunities to reach out correct audience for the maximum outcome. With big data, anyhow the challenges are not going to reduce but you will get a plethora of opportunities in advertising your brand to the right audience, at the right time at right place. The major challenge of marketing industry is the competition which it faces at every step. Big data offers several creative ideas that strategies your marketing tactics and help you coming out with more customized and innovative ideas making you stand out among the rest and cutting down the competition.
Forecasting and planning: Forecasting is the foundation for all the marketers. Till the date, most of the marketers were working on a hit and trial method when it came to forecasting. Now, with the help of big data forecasting has got more accuracy and easier. Now, forecasters can grab details of several years; check the trends and collect a wide range of information used for making their report. This detailed analysis brings aptness to their work.
Today’s world has been transformed into a digitized world where not only businesses but also common folks are using digital platforms resulting in the generation of a huge amount of data every day. To store these data and to transfer it we required a potent platform and Big Data is the one-stop solution for all the requirements. Big Data is capable of storing structured, unstructured, and semi-structured data. These sets of information can be mined any time to use further, such as in the machine learning process, business analysis, predictive data, and many more.
The big data is majorly categorized in three Vs and those are listed below:
- Volume of data
- Variety of data
- The velocity of data generation
Data was ever a crucial aspect for every business sectors; either you talk about the present decade or date back to the past or older decades. Earlier also most of the business decisions were taken based on data and to tackle data they were having analysis techniques. But in the present time using the same traditional analysis techniques will not be feasible and the reason is huge variety in the data generated these days. You can never keep your domain confined to a single type of data collection. This rapidly changing types and volume of data required a potential platform and big data comes with a wide range of advantages for the businesses to avail from it.
Tracking: Logistics companies greatly depend on time and location. To work effectively, it is necessary for the company to know the precise location of the goods. Big data assist you to track the location of your various goods and keep a track record of entire journey to enable the end user to estimate the goods delivery date also. Using the unique features of big data it is possible to understand the real-time weather, traffic and other related conditions of goods carrying vehicles.
One of the key factor for digital transformation is the big data. An organisation has huge data which is generated, collected frequently so these organisations are in search to adapt new technologies where the scope for digital transformation is accelerated. To digitise any organisation, it is imperative to implement useful data with specific methodology.
Big data helps enabling this digital transformation by following:
Digital marketing: helps in analysis of customer’s behaviour and their preferences, hence market their products using big data available there by ensuring customer encouragement. Audience are being targeted on basis of data of revenues and sales of specific product. The combination of big data and marketing helps the organisation to reach various spots of industry.
Big data and 5G: digital transformation is accelerated only when there is good, fast and reliable communication networks which becomes paramount.
With the requirement of business enhancements along with improved customer experience, every business, governmental institutions have started utilizing the power of Big Data.
Big Data is a term used to describe a collection of data which is huge in volume and growing exponentially with time. For the complete maintenance of such big data, traditional data management tools will be sufficient for the process. It covers data mining, data storage, and data visualization also.
Let’s dig in some of the advantages of Big Data:
- Big Data analytics tools prove beneficial hence it enhances operational efficiency and reduces risks.
- To enhance the overall customer experience, business around the world are streamlining their strategies and on the additional note, Big Data analytics offer customer insights so that they can make their products and services in a better way.
Data storage is really crucial; either you talk about a business or an individual. When it comes to store a huge amount of data for a longer duration then it becomes almost hectic and impossible to maintain. Since so many decades several organizations working on various data and paperwork are struggling with the same, but not anymore. A new technology has been emerged and is named as big data. This is a unique method to store and maintain structured, semi structured, and unstructured data at the same platform which can be excavated anytime for reference. The usage of big data is so wide and it has been playing a crucial role in the backend to support other major technological advancements, such as machine learning, advanced analytics applications, predictive modeling, and many more.
Importance of big data: There are several organizations which completely depend on data and digging out old data, processing it manually was a difficult task and also time consuming. Incorporation of big data has assisted several business domains to hasten up their process by maintaining a sorted data available on the go.
The world has went digitized where every single requirements is been satisfied with few finger touches on their mobile screen or other digital screens. Digital world has given space for several businesses which has also given a room for cyber theft and hackers. The abruptly growing digitized world is undoubtedly assisting businesses to grow till sky high level but on the other hand it is also putting all those businesses at a higher risk of cyber-attacks as most of these businesses are based on crucial and confidential data. These businesses can be protected from such attacks and thefts with the help of big data.
Cyber security threats: Corporate security word is almost disappeared from the business world and it is because of growing interconnectivity of digital devices using internet. Data protection was ever a concern for so many businesses and it was ever done with great tools, but in the recent hi-tech world the potential of traditional data security tools are not enough to secure it from various threats open from distinct vertexes. Now we need a tool which is smart and can detect malicious activities in the network at a very prior stage and can put an end to the treat before it penetrates in the loop.
Data can work wonders in any business sector if processed and mined properly. It has been playing a crucial role in improving services of various businesses based on their past records, future predictions, and present interpretations. Talking about healthcare sector, data has a great importance in providing best services to the patients. The big data storage of the healthcare industry includes storage of hospital records, medical records of patient, other related information of devices working for the treatment. With every successive day, healthcare sector is growing and the biomedical researches conducted for this development are also having a huge contribution in generating big data. Storage of all the above mentioned details is important for a smooth development of healthcare industry. Big data technology is being a robust pillar to support medical sector in storing, processing, and mining it out when required. The data bustle: The data storage and flow is increasing gigantically taking a great leap in the digits. As per a study conducted on the big data generated, storage and transmitted all across the world, it has been depicted that in 2003 the numbers of data generated was 130 exabytes which has been expanded to the level of 16000 EB in the year 2017.
This is a big data era, where every moment of life is calculated and is store in some or other manner. Scientists, who continuously work for the future predictions, advanced computing and other growing technologies continuously require a quick look over the data of past several years, and so these studies and requirements are giving a blast of data which is crucial to maintain immortally. The major challenge is to store and maintain this giant data with a flexibility to visualize the data in static or dynamic form. In previous decades people did had data and data management tools too, but now the volume of data has grown exponentially. Traditional data management tools are not really effective and even efficient to combat the current scenario.
Volume: Big data, by name itself it justifies the definition that means a huge sized data that is generated at a period of single day. Now there is nothing like important data and casual one, each data generated in per day time is been stored and processed and this is one of the major challenges faced by big data management.