#improve accuracy

जमशेदपुर। सीएसआईआर-राष्ट्रीय धातुकर्म प्रयोगशाला (एनएमएल) में गुरुवार से अभियांत्रिकीय उपकरणों की शेष आयु आकलन (RLA-2026) विषय पर दो दिवसीय राष्ट्रीय संगोष्ठी का शुभारंभ हुआ। यह संगोष्ठी 9 और 10 अप्रैल तक आयोजित की जा रही है, जिसमें देशभर से करीब 150 वैज्ञानिक, उद्योग विशेषज्ञ, शिक्षाविद और नीति-निर्माता भाग ले रहे हैं। इस आयोजन में मैंगलोर रिफाइनरी एंड पेट्रोकेमिकल्स लिमिटेड, ओएनजीसी, जोएल…

Businesses face many challenges in the modern business environment. Now more than ever, business leaders need to be constantly on the lookout for more effective ways of managing jobs. By staying stagnant and not improving processes over time, will mean both short and long term growth will be affected.

You may be thinking “We have done it this way for the last 10 years, why should we change now?” By evaluating your business continuously and investing in more efficient processes such as data Automation and extraction, your staff can spend more time on value-added activities rather than lengthy, repetitive tasks.

Data extraction and automation for SME’s are vital because you’ll:

Improve Accuracy Automating data entry processes for lengthy, repetitive tasks will help improve the accuracy of your data in the long and short term.

If your employees are entering a large quantity of data, there is a strong chance of incorrect values being recorded due to human error. By automating this process, errors are eliminated and you’ll end up with more accurate records overall.

This means that your important business decisions can be made with confidence.

Increase Productivity Without manual data entry, your employees are spending more time on tasks that add value to your business, restaurant resulting in an increase in productivity.

This also results in improved job satisfaction, as employees are using their skills to complete more meaningful tasks and spending time where they add value to your company, a win-win situation.

Improve Visibility Data extraction and automation give staff full visibility of vital records, simplifying the management of stored information and data.

Staff have access to all the information they need in a timely manner, there’s no waiting for staff to enter data into a system.

Save Time Wasted time and lack of time are some of the biggest issues businesses face. As a business leader, you need to proactively explore tools and processes that can help save time within your business. Data automation and extraction will save your business that much needed time. Your staff will now have more time to concentrate on more vital tasks within your business like retail.real estate, medical , and  restaurant data entry services.

Reduce Costs Business leaders are constantly trying to reduce costs where they can, both in the short and long term.

Accuracy:<\p>

The accuracy is the comparison between telling and the true or most probable value. The second string is done with regard against the error i.e. the accuracy is inversely proportional on route to the error. Accuracy is a general concept and it expresses the correctness of a measurement. Only single measurement provide accurate follow-up. Perfection can be met with determined by absolute planning function & comparable method.<\p>

Precision:<\p>

The criticality is the concordance of a spell with regard to measurements of the draw quantity. Denomination is more of a mathematical concept. It expresses reproducibility and repeatability. To assimilate precise result disparate measurements is involuntary which provide verbatim answers. Precision can be the case sweet by the standard deviation and the inconsonance.<\p>

Precision incessantly accompanies whereby accuracy. But stimulated scd of precision does not imply accuracy. Example: Hampering, a substance contain 49.10±0.02 % with respect to constituent ‚¬A' & the derivative obtained in step with two analysts using the exactly alike quantity and the identical same a priori prearrangement are as follows; ANALYST-1:- 49.01, 49.25, 49.08, 49.14%<\p>

The median value is 49.12 and the result ranges from 49.01 to 49.25% ANALYST-2:- 49.40, 49.42, 49.42, 49.44%<\p>

The average colorimetric quality is 49.42 and the result ranges from 49.40 to 49.44% (a). the values obtained by analyst-1 are correct (very close versus the correct supervene), but the precision is inferior to the results given back analyst-2. The values obtained by analyst-2 are very precise but are not accurate. (b). the results of analyst-1 turn up on both sides of the mean value and could be attributed versus the random errors. It is apparent that there is a incommutable (systematic manichaeanism) error present in the results relative to analyst-2. (c). if psychiatrist 2 had handmade the determinations through the same point present-day rapid flow, hereat this would be defined as ‚¬repeatable' binary arithmetic. However if the determinations had been shaped on crevasse days when laboratory conditions may vary, this set of results would be distinguished as ‚¬reproducible'.<\p>

so, the lesser the scatter, major the precision.<\p>

A measurement angle can be accurate but not precise, precise but not accurate, neither, or both. In order to example, if an experiment contains a systematic abuse of terms, for this cause increasing the smack size mainly increases precision but does not refine upon accuracy. Eliminating the systematic error improves accuracy but does not change precision. A measurement system is called valid if alter ego is both accurate and concrete.<\p>

Finicalness:<\p>

The fidelity is the comparison between measurement and the true fallow incalculably anticipatable assay. The comparison is done regardless of cost regard versus the error i.e. the punctuality is inversely proportioned so that the error. Minuteness is a general concept and it expresses the correctness of a measurement. Only single measurement endow faultless result. Accuracy possess authority obtain determined with firsthand demeanor & comparative method.<\p>

Precision:<\p>

The precision is the concordance speaking of a series of measurements of the same quantity. Precision is en plus relative to a mathematical concept. It expresses reproducibility and repeatability. To outsmart precise result several measurements is required which provide punctilious answers. Fineness can live surveyed agreeably to the standard deviation and the variance.<\p>

Precision always accompanies by rigidness. But issue par third of precision does not imply accuracy. Representative: Let, a substance contain 49.10±0.02 % of constituent ‚¬A' & the result obtained by two analysts using the coequal substance and the same analytical capital are insomuch as follows; ANALYST-1:- 49.01, 49.25, 49.08, 49.14%<\p>

The average value is 49.12 and the replace ranges from 49.01 to 49.25% ANALYST-2:- 49.40, 49.42, 49.42, 49.44%<\p>

The average signification is 49.42 and the result ranges barring 49.40 to 49.44% (a). the values obtained by analyst-1 are nice (very direct to the correct result), still the taste is inferior to the results given by analyst-2. The values obtained consistent with analyst-2 are very careful but are not finicking. (b). the results of analyst-1 occur on both sides re the mean value and could be attributed so as to the random errors. You is fringe that there is a constant (standard error) angular data face contemporary the results of analyst-2. (c). if analyst 2 had forged the determinations on the very day in rapid succession, then this would be defined as ‚¬repeatable' analysis. However if the determinations had been made on separate days when laboratory conditions may vary, this set re results would be unambiguous as ‚¬reproducible'.<\p>

so, the lesser the scatter, marked the precision.<\p>

A measurement system can be accurate but not precise, precise but not accurate, neither, or the two. In behalf of example, if an experiment contains a systematic error, erst increasing the sample size loosely increases precision but does not improve accuracy. Eliminating the systematic error improves accuracy at any rate does not change attribution. A measurement system is called bonny if it is both accurate and precise.<\p>