Today at work I was interviewing some candidates for a position we have been trying to fill for quite some time now but haven't been able to find a good match. This experience got me thinking can PAW be a "perfect match"?.
Today was also billing day, the two days in the month when I am drowning in numbers, pulling multiple time sheets for all my direct reports working with multiple excel worksheets. In these two days I will have worked over 10-12 hours per day pulling reports, summarizing them, matching and merging finally building out my worksheets to be sent to my finance department for billing.
Month after month there is all this manual labor involved in putting together these workbooks. This prompted me to think of getting a software product that would help reduce it. It would be so nice to get back 4-6 hours. A 50% in time saving ---> SWEET. I opened PAW started to build my monthly time reporting worksheet from scratch. It took me about an hour to set-up and automate the process the way I wanted it. I tested it and it worked. I wondered if there was something out there that could do everything I had in my head, PAW only addresses 85% of the steps I envisioned.
On the drive back home I realized that next month I will only have to do 15% of the work as PAW will automatically do the balance 85% and export the excel file to me, that made me so happy. In today's world of instant gratification where software only gets cheaper, faster, better one has to realize "the perfect match" is also changing constantly, whats in today is out tomorrow, whats considered hot today is dead tomorrow. I now look at PAW in a new light my PERFECT MATCH light my solution for today, tomorrow will bring something that is faster cheaper better. Until then I have found my PERFECT MATCH.
Playing with Data in PAW
This blog is about all the thoughts, features, decisions, and musings going into creating PAW - the Processing and Analytics Workbench for managing your data.
Tuesday, August 26, 2008Wednesday, August 20, 2008Marketing Challenge
I have been working in the field of marketing for quite a few years now. Most of my job involves interaction with data in some level or another. Some things I regularly working on are - getting data files of customers for my next email campaign, status of payments received from a particular client, or simply an export of all the responses from my marketing survey.
Every time I get data I have to spend time doing some processing to it so that I can visualize it in a fashion that is understandable to me. Today I was faced with such a situation and PAW came to my rescue. Today, I received twelve files of data exported in excel from a vendor who implemented one of my customer survey's. All of the raw data I collected was important to me however in addition to this raw data there was more value in analyzing the following -
Traditionally, I had to have someone from my team or the database manager right some SQL query's to parse this information and send it to my team. In the PAW world today, I or some one from my team pulls all the information in PAW and withing the hour has all the various data files ready to send to the various teams. Merging or de-duping data takes minutes in PAW even for large files (each of my files had over 35k rows in it) and what's even better is that I don't have wait for other teams to send me the parsed data. My email marketing campaigns are more releveant as they are sent out in a timely fashion bringing more ROI and revenue to PAW.
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