JezK

Edit File: 1667301220.M600368P3346555.mocha3025.mochahost.com,S=42787,W=43440:2,S

Envelope-to: asady@jack.ngo,
 ashraf@jack.ngo,
 dr.aamir@jack.ngo,
 data.entry@jack.ngo
Delivery-date: Tue, 01 Nov 2022 07:13:40 -0400
From: <hedayatullah.noor@jack.ngo>
To: <data.entry@jack.ngo>
Cc: <dr.aamir@jack.ngo>,
	<asady@jack.ngo>,
	<ashraf@jack.ngo>
Subject: Nimroz Reporting Data sheet (October 2022)
Date: Tue, 1 Nov 2022 15:45:56 +0430
Message-ID: <007e01d8ede3$52ab0b50$f80121f0$@jack.ngo>
MIME-Version: 1.0
Content-Type: multipart/mixed;
	boundary="----=_NextPart_000_007F_01D8EE09.0A9FF0C0"
Thread-Index: Adjt4UaTZm0fywXMRZOeI9d/TGrbRg==
Content-Language: en-us

This is a multipart message in MIME format.

------=_NextPart_000_007F_01D8EE09.0A9FF0C0
Content-Type: multipart/related;
	boundary="----=_NextPart_001_0080_01D8EE09.0A9FF0C0"

------=_NextPart_001_0080_01D8EE09.0A9FF0C0
Content-Type: multipart/alternative;
	boundary="----=_NextPart_002_0081_01D8EE09.0A9FF0C0"

------=_NextPart_002_0081_01D8EE09.0A9FF0C0
Content-Type: text/plain;
	charset="us-ascii"
Content-Transfer-Encoding: 7bit

Dear Sameer Jan

Wish you well.

Please find attached file for Nimroz Reporting data Sheet for the month of
October 2022.

As per discussion on mobile the report is of three weeks, because there was
discrepancy in data and the main cause was calendar divergency. For the
solution the reporting period will be from 22nd  date to 21st of new month.
The data achieved is low than other months because the data is of three
weeks.

Best Regards

------=_NextPart_002_0081_01D8EE09.0A9FF0C0
Content-Type: text/html;
	charset="us-ascii"
Content-Transfer-Encoding: quoted-printable

<html xmlns:v=3D"urn:schemas-microsoft-com:vml" =
xmlns:o=3D"urn:schemas-microsoft-com:office:office" =
xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" =
xmlns=3D"http://www.w3.org/TR/REC-html40"><head><meta =
http-equiv=3DContent-Type content=3D"text/html; =
charset=3Dus-ascii"><meta name=3DGenerator content=3D"Microsoft Word 15 =
(filtered medium)"><style></style></head><body lang=3DEN-US =
link=3D"#0563C1" vlink=3D"#954F72"><div class=3DWordSection1><p =
class=3DMsoNormal>Dear Sameer Jan<o:p></o:p></p><p =
class=3DMsoNormal>Wish you well.<o:p></o:p></p><p =
class=3DMsoNormal>Please find attached file for Nimroz Reporting data =
Sheet for the month of October 2022.<o:p></o:p></p><p =
class=3DMsoNormal>As per discussion on mobile the report is of three =
weeks, because there was discrepancy in data and the main cause was =
calendar divergency. For the solution the reporting period will be from =
22<sup>nd</sup> &nbsp;date to 21<sup>st</sup> of new month. The data =
achieved is low than other months because the data is of three =
weeks.<o:p></o:p></p><p class=3DMsoNormal><o:p>&nbsp;</o:p></p><p =
class=3DMsoNormal>Best Regards<o:p></o:p></p><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p><p class=3DMsoNormal><img =
width=3D302 height=3D116 id=3D"Picture_x0020_1" =
src=3D"cid:image002.jpg@01D8EE09.082F17D0" =
alt=3DSignature><o:p></o:p></p><p =
class=3DMsoNormal><o:p>&nbsp;</o:p></p></div></body></html>
------=_NextPart_002_0081_01D8EE09.0A9FF0C0--

------=_NextPart_001_0080_01D8EE09.0A9FF0C0
Content-Type: image/jpeg;
	name="image002.jpg"
Content-Transfer-Encoding: base64
Content-ID: <image002.jpg@01D8EE09.082F17D0>
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------=_NextPart_001_0080_01D8EE09.0A9FF0C0--

------=_NextPart_000_007F_01D8EE09.0A9FF0C0
Content-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet;
	name="Nimroz reporting data sheet Oct 2022.xlsx"
Content-Transfer-Encoding: base64
Content-Disposition: attachment;
	filename="Nimroz reporting data sheet Oct 2022.xlsx"
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------=_NextPart_000_007F_01D8EE09.0A9FF0C0--