Why Is Accuracy Important?October 10, 2018
What Are Competencies?October 23, 2018
Most errors happen in the perceptual or visual aspect of working with data. It is not a keying error – or a slip of the fingers – that makes $369.23 turn into $396.23. The problem lies in how we look at and read the data. Between our eyes and our brain, the 6 and 9 are reversed. While most people refer to data errors as “typos,” we call them “eye-pos” to underscore that these errors are not caused by incorrect fingers on the keyboard, but rather incorrect reading of the data.
As young children, we are taught how to read words and sentences in a manner which helps our brain make sense of information even if it is out of order or misspelled. For example:
When we wree in schol we lernaed how to raed words. We were also taught how to recgnoise numbers, but not how to raed data.
You can porbabyl raed tish setnenec even though most of the words are not speelld coerrctly. We tend to raed numbers in the same way as we raed words.
But when we raed numbers, we need to see each and every dgiit. A digit’s ecxat position is crciul. We have to percvceive every digit precisely if we are to be auccrate.
You most likely were able to read that fairly easily, even though most of the words were misspelled. Unfortunately, most people read data the same way they read words which creates opportunities for mistakes such as:
- Transposing numbers and letters.
- Omitting repeated digits.
- Inserting too many repeated digits.
- Placing decimal points or other punctuation in the wrong place.
- Omitting the data altogether.
- Grouping letters or numbers in clustered data incorrectly or inconsistently.
Typical Errors Made
- Inputting $593.45 instead of $539.45.
- Invoicing a customer $200 instead of $2,000.
- Shipping a product to an incorrect address.
- Using reference 29985 instead of 299985.
- Putting the wrong batch number on a product run.
- Applying the wrong amount to the wrong account.
- Writing to Ms. Jones instead of Ms. Johans.
- Calling 498-773-2223 instead of 478-773-2223.
Evoke Development teaches a variety of data reading techniques and helps individuals answer the question of “what should be going on in my head when I am working with data?”
Kwa nini Uhalisi ni Muhimu? - Oktoba 10, 2018 - Uwezo ni nini? - Oktoba 23, 2018 - Makosa mengi hutokea katika kipengele cha utambuzi au kuona cha kufanya kazi na data. Si kosa la kuingiza <unk> au kuanguka kwa vidole <unk> ambayo hufanya $ 369.23 kugeuka kuwa $ 396.23. Tatizo liko katika jinsi tunavyoangalia na kusoma data. Kati ya macho na ubongo, 6 na 9 ni kinyume. Wakati watu wengi hutaja makosa ya data kama <unk>typos,<unk> sisi kuwaita <unk>eye-pos<unk> ili kusisitiza kwamba makosa haya hayasababishwi na vidole vibaya kwenye kibodi, lakini badala ya kusoma vibaya kwa data. Kama watoto wadogo, tunafundishwa jinsi ya kusoma maneno na sentensi kwa njia ambayo husaidia ubongo wetu kuelewa habari hata ikiwa haiko katika utaratibu au imeandikwa vibaya. Kwa mfano: Tulipokuwa shuleni tulijifunza jinsi ya kuandika maneno. Pia tulifundishwa jinsi ya kutambua namba, lakini si jinsi ya kukusanya data. Unaweza porbabyl raed tish setnenec hata ingawa maneno mengi si spelld coerrctly. Sisi huwa na raed namba kwa njia ile ile kama sisi raed maneno. Lakini wakati sisi raed namba, tunahitaji kuona kila na kila dgiit. A <unk>s nafasi exxat ni crciul. Ni lazima tuelewe kila tarakimu kwa usahihi ikiwa tunataka kuwa aucratic. Yaelekea uliweza kusoma hilo kwa urahisi, ingawa maneno mengi yalikuwa yameandikwa kimakosa. Kwa bahati mbaya, watu wengi kusoma data njia hiyo hiyo wao kusoma maneno ambayo inajenga fursa kwa ajili ya makosa kama vile: - Transposing namba na herufi. - Kuondoa tarakimu zinazorudiwa-rudiwa. - Kuingiza tarakimu nyingi sana zinazorudiwa-rudiwa. - Kuweka alama za decimal au alama nyingine za alama mahali pasipofaa. - Kuondoa data kabisa. -Kusanya herufi au tarakimu katika data zilizokusanywa kwa njia isiyo sahihi au isiyo ya usawa. Makosa ya kawaida yaliyofanywa - Kuingiza $ 593.45 badala ya $ 539.45. - Invoice ya mteja $ 200 badala ya $ 2,000. - Kusafirisha bidhaa kwa anwani isiyo sahihi. - Kutumia kumbukumbu 29985 badala ya 299985. - Kuweka nambari ya kundi mbaya juu ya bidhaa kukimbia. - Kutumia kiasi kibaya kwenye akaunti mbaya. - Kuandika kwa Bi. Jones badala ya Bi. Johans. - Wito wa simu 498-773-2223 badala ya 478-773-2223 Evoke Development inafundisha mbinu mbalimbali za kusoma data na husaidia watu kujibu swali la "ni nini kinachopaswa kuwa kikiendelea katika kichwa changu ninapofanya kazi na data?"