Data! Data! Data! I can’t make bricks without clay!
Data analytic helps to increase quality in data,Data analytics (DA) is the process of examining data sets in order to draw conclusions about the information they contain, increasingly with the aid of specialized systems and software. Data analytics technologies and techniques are widely used in commercial industries to enable organizations to make more-informed business decisions and by scientists and researchers to verify or disprove scientific models, theories and hypotheses.
Data analytics initiatives can help businesses increase revenues, improve operational efficiency, optimize marketing campaigns and customer service efforts.
The operations include data extraction, data profiling, data cleansing and data deduping
Applying analytics for designing and controlling the process, and optimising business operations ensures efficiency and effectiveness to fulfil customer expectations and achieve operational excellence. Businesses can use advanced analytics techniques to improve field operations, productivity, and efficiency, as well as optimise the organisation’s workforce according to business needs and customer demand.
|1. Traditional business applications have always been very complicated and expensive.||1. Data Analytics removes duplicate informations from data sets and hence saves large amount of memory space. This decreases cost to the company.|
|2. The amount and variety of hardware and software required to run them are daunting.||2. Data Analytics it is suitable for enormous amount of data. it is used to reduce duplicate data and helps in optimization.|
|3. You need a whole team of experts to install, configure, test, run, secure, and update them.||3. Men power will be reduced and it is cost effective.|
|4. When you multiply this effort across dozens or hundreds of apps, it’s easy to see why the biggest companies with the best IT departments aren’t getting the apps they need.||4. Data Analytics is Easy to use, configure and install.|
|5. Small and midsize businesses don’t stand a chance.||5. Data Analytics operations include data extraction, data profiling, data cleansing and data deduping .|
ophel computing Believes What gets measured, gets managaed. What gets measured, gets managaed.