How to SPEEDUP your Android Studio ?

Here are some quick trips that I have tried to speed up Android Studio on my Windows 8.1 Laptop. I hope you have a laptop with 4GB RAM because that is recommended.

1) Un-Comment  (if there are commented) or if they are missing then add these 2 lines to the project gradle.properties file (See image below)

org.gradle.parallel=trueorg.gradle.configureondemand=false 

2) Add these 2 line to the gradle properties file at the location - C:\Users\DataScience\.gradle where 'DataScience' is the user that I have logged in with to my Windows machine. If your Windows user is Jim then the path for you should be C:\Users\Jim\.gradle

3) In android studio, you can enable offline work to make android studio run faster. To enable offline in android studio, just follow following step.  In Android Studio, go to file >> setting and click Compiler from side menu and then type --offline in the command-line options box and hit OK button like this:

Tracking Game : Big Data & Logistics

How can Amazon, FedEx, Flipcart of the world leverage the huge amount of customer and logistics data to improve, optimize the process and increase profits. Do you remember the  IBM RFID TV commercial in which ' A call center attendant is sitting on the highway stops a trucker and tells him "The Boxes you are carrying have told me you are lost and you are on the wrong road". The driver replies "May be the boxes should drive the truck'. (https://www.youtube.com/watch?v=oAvQcYcvyaw ) The advertisement was about RFID technology and since newer technologies are being used in logistics world.

Today's logistics is all about
1) Visualizing, Monitoring & Optimizing Delivery Routes
2) Ensuring Timely & Accurate Delivery by real time intervention
3) Predicting Future Demand and Peak Load by analyzing data
4) Reducing Inventory and optimizing processes

Big Data can help in achieving all the above goals. Amazon uses Big Data to optimize the supply chain. By using predictive analysis based algorithm like 'Anticipatory Delivery', many time Amazon surprises us by delivering items in a very short time -  X number of popular products are prepacked and already delivered to warehouses in certain cities based on the recent trend. Bluedart uses GPS based technology chip called 'SenseAware' that provides complete detail of each shipment including parameters like temp and humidity. 

These systems are nothing but solutions based on combination of current technologies like GPS, Hadoop, Complex Event Processing, Sensor Technology, Predictive Analysis and Recommendation Engine etc. Gartners, IDB and Forresters have already projected integrated Hadoop-like-systems that will work like a framework. Multiple flavors of Hadoop are already offered by different vendors and the competition has just started. What is important is that Logistics landscape has changed and by applying technology it has become affordable to monitor, track, optimize, innovate and at the same time reduce the operating cost. Today Haddop is not an option but a integral technology for the new generation Logistics Systems.

Big Data Strategy - Smarty & Hasty Learning Series

21) Is Big Data only for large enterprise? How do small enterprises leverage Big Data?

Whether you run a small business with just a few employees or you a large multinational enterprise you can benefit from big data. The constant stream of data flowing to and from us through everyday devices and products generates more market data than ever before. The amount of data we’re producing is growing at an incredibly rapid rate. In less than five years from today (2015), experts predict that our annual data creation will be in excess of 45 trillion gigabytes. With the amount of data available to individuals, corporations, and governments, there is no question that your business needs a Big Data Strategy.

                                    When we say Big Data Strategy what is required is a focused, data-driven strategy that will not just collect information but to use that information in the most effective ways possible to help your business overcome existing business challenges but also help improve your bottom line.

 

 

To define your Big Data strategy you should first have answers to these questions.

1) What is the biggest challenge for my enterprise/business today?

2) How can I know my customer better?

3) If I have better understanding of my data will it help to address business challenges?

4) How can I use analytics to get insights about my customers and their buying and spending patterns?

 

Once you have answered these questions you know what is the expected outcome of your BD Strategy and then you shall be able to define the strategy for Big Data for your business (you might take help from an expert).  Big Data is not just for big businesses with huge amount of data and it can help small business to strategize and increase their customer base and retain customers.

 

Take this example of a family owned small company that helped tourist find cheap and comfortable accommodation with homeowners. Company helps around 700+ homeowners to generate additional income by renting their spare rooms. The small company used an analytics tool to tap into data ranging from spreadsheets to databases and make the analysis available to home owners and contractors. The predictive analysis helped company save a large amount of money by better planning and demand/supply management. The company had expected the Big Data spending to provide returns in 3 years but they realized returns in 2 years. There are many more examples and I will share few of them in coming days.