ricklentz

make decisions to be competitive
  attributes: 
    integrated (view of the global state)
    truthful (accurate and consistent with business rules) 
    accessable (inforamtion consumers)
    credible (no contradictions)
    timely (when needed)
    
reasons for failure in early decision support systems:
  lack flexibility to adapt

ricklentz

Data Science - 
  harness the value of data
  Source: IBM - Computer Programming / Statistics / Domain & Business Knowledge
  Build culture to improve decision making

  On the business side, data scientists are strategic thinkers. They are always focused on solving complex organizational       problems using data. They have a good understanding of how the business works so that they can ask right questions and         engage with the stakeholders. They're always curious. They're good communicator and storytellers.

ricklentz

import os
dir = r'/home/...'
for filename in os.listdir(dir):
	with open(dir + '/' + filename, encoding='utf-8') as f:
		for idx, line in enumerate(f):
			print(filename + ' ' + str(idx))

ricklentz

import pandas as pd
import os

path =r'/home/wrk' # use your path
allFiles = os.listdir(path)
frame = pd.DataFrame()
list_ = []
for file_ in allFiles:
    df = pd.read_csv(path + '/' + file_,index_col=None, header=0)
    list_.append(df)

ricklentz

install wireshark and launch a capture session with the tcp filter enabled
install ARC Welder, link to the .apk, and launch with metadata  {"stderrLog": "V"}
set up the app by inspecting chrome://inspect/#apps and then opening the plugin shell plugin.shell('adbd') via the javascript console
launch adb using shell: .platform-tools/adb shell -e 0
pm list packages -f

ricklentz

characterize the protocol using wireshark, trigger different operating conditions if possible, and save the aggregate pcap data
a=rdpcap("/Users/stanford/Downloads/dump.pcapng")
notice the index is one less than you see in the wireshark gui.  
view packet info at index: a[278]

ricklentz

Many DW projects fail and are abandoned midstream
Fail due to inadequate project management
Evaluate if really needed, evaluate opportunity and viability

Compare cost of failure vs project not started at all
Bottom up vs Top down
  Enterprise-wide centralized data warehouse
  individual data marts first
    faster cheaper, more limited benefits
100% in house programming (not a good idea)

ricklentz

You can use package manager (pm) over adb shell to list packages:

adb shell pm list packages
and to display where the .apk file is:

adb shell pm path com.king.candycrushsaga
package:/data/app/com.king.candycrushsaga-1/base.apk
And adb pull to download the apk.

adb pull data/app/com.king.candycrushsaga-1/base.apk

ricklentz

# export PYMESH_PATH=/home/cbios/github/PyMesh
import os
import pymesh

cold_store_dir = r'/media/cbios/ResearchData/Models/train_normal'
for filename in os.listdir(cold_store_dir):
	mesh = pymesh.load_mesh(cold_store_dir +'/' + filename)
	pymesh.save_mesh_raw(cold_store_dir +'/' + filename.replace(".obj",".ply"), mesh.vertices, mesh.faces, mesh.voxels)

ricklentz

Common theme to organizational differentiators of comprehensive analytics competitor:
  Top management has communicated that the organization competes on quantitative, fact-based analysis
  Widespread use of predictive modeling and optimization
  Analyze the heck out of their data
  Comprehensive understanding of their competitors
  Optimize business strategy and planning, can determine impact of unexpected constraint, simulate alternatives
  Model relationship between operational costs and performance
  Can measure lift of intervention strategies and apply results to improve future analysis
  For each subgroup, perform regression analysis to identify factors that most closely correlate with *business event*
  Information-based strategy - Programs operate under common leadership, technology, and tools