Data generation is exponentially increasing every year producing enormous quantity of data, which has raised a big challenge before all the data analysts. Its very difficult to understand, process, visualize & extract value from the gigantic raw data being collected at the end. Data Scientists are continuously researching & developing tools & softwares to tackle the growing data. There are lots of data warehouse in the market, which are contributing efficiently in many fields, but everything has a limitation with the new inventions being introduced every year. So, the solution on these constraints of data analytics tools is D3.js.
What is D3.js?
Applying data-driven transformations, you can bind the arbitrary data to a DOM (Document object model) with the help of D3. As D3.js can manipulate DOM, it is not necessary to use proprietary framework. It provides a good exposure to utilize the full potential of the web standards to create web applications more dynamic & interactive.
Having these great technical characteristics D3.js is winning over rest of the tools in the market, let’s see how.
The strategic objective of Healthcare IT industry today is to advance the health information records & provide more standardized demographics. Medical industry is concerned about high quality care, not only for serving there patients but also to maintain their entire medical records carefully. There are mountains of longitudinal patient reports with HCCs, DRGs, CPT codes, facilities being rendered by the patients, ICD9codes etc. So, monitoring such type of data including 100000+ count of patients is definitely not an easy task. Every single day the medical industry is generating millions of medical data related to diseases, treatment, diagnosis, medicinal studies & many other health care details which are getting complex to manage at one place. The medical professionals are always on a search to access a well maintained medical history which is covering the concerned data with respect to the targeted locations.
There are many data management softwares available in the market such as Tableau, Qlikview etc., but they all have some characteristics lacking in order to handle such a huge amount of data & at the same time provide easy access to the concerned people out there. This is the reason why D3.js has been the highly approached technology these days, it not only covers all the medical data, but also adds a great understanding value & help to extract the desired data. More importantly, D3.js is very flexible, the design of the data documents can be made according to us, as there are 1000+ graphs of numerous designs with animatic effects. As medical arena is quite wide in terminologies & so are their uses worldwide. So, D3.js can support all types of heavy data with creative visualizations which are easy to process.
The evolving need of data maintenance, risk management & new regulatory requirements have raised the demand of advanced technologies to handle all the significant challenges faced by the banking sector. There are many banking functions which need instant access of large number of business transactions & records throughout their banking networks. Modern banks need to support entire volume of data while maintaining the data quality at the same time. But data quality management is not the only point of concern while financial matters are concerned, security also a plays a crucial role in upgrading the banking system.
CRM, SCM, ERP etc. many technologies have been introduced & implemented, all of them are well-driven till high-tech Dashboards & quality control comes in picture. Whereas, Datawrapper & Tableau Dashboards are contributing highly in various banking departments. But when it comes to access huge amount of complex data, find instant solution for dramatic transformations in banking sector & maintaining statutory requirements backed by secured access, then these technologies will be facing limitations. So, here is the point where D3.js can come over all the exceeding hurdles in managing banking prospects.
Creating dashboards handling more complex data which can drill down data for you, is something which D3.js can provide at its best. With interactive market insights & customer behavior tracking graphs, many risks can be avoided with a proper solution at the end. Calculating investors response, launching new schemes need clear approach to reach the right decision, which D3 makes easier due to its instant real time data tracking feature.
Users & customers in the retail industry have turned towards advanced tech tools for strategic & tactical decision making process across various verticals. There is a massive competition in the retail industry, numerous companies are striving to get online for targeting diverse campaigns. Every year the market scenario is changing, new products entering in the market, new policies getting defined are influencing retailers to inculcate detailed analysis, study market insights, track product reviews etc.
There are some BI tools using marketing automations & CRM data to track customer demands according to the changing market scenario. It is possible to avail real time experience for knowing current metrics through many available softwares in the market. Accessing sales data, gross margins, market share have become easier due to these tools, but there are some constraints when real time analytics & extracting value from complex demographics are concerned.
D3.js is the solution for highly demanding tangible & quantifiable metrics in order to tackle the market strategy. It offers interactive graphs & charts so as to view customer centric data, demand for product (based on region, time & year) with respect to the current market share. The Business arena is speedily expanding & so is the competition for retailers. With the help of D3.js, users can extract valuable data from interactive charts for planning their business strategy. It is important for the companies to be updated regarding various revenue upgrading metrics i.e., tracking latest market scenario to scale their ROI.
Its a real challenge to manage all such kind of data at once & create a user friendly access for all those professionals, who need to track all the records & remotely access the improvements & updates. The time needed to learn & implement D3.js is more than what other BI tools take, but it is extremely flexible since it works smoothly with the available technologies. Also D3.js doesn’t has pre-built charts which can limit the flexibility on using code, rather it uses a functional style that helps you reuse the code maintaining the creativity level. So, this is why D3.js is proving the best solution for data maintenance.