Skip to main content

App Savvy - Make your move with an iOS Application

Interesting book that is written for the non-programmer and the programmer, who has the technical abilities but lacks the marketing skill to peddle his wares. There are some obvious stories as to the need to plan and the approach but there are a lot of other stuff that would assist the man of ideas.

The book starts in a typical way as to where you can start with an idea for the iphone, that can become the million dollar idea. It brings down your enthusiasm with stories about how nearly 99 percent of the applications in the store are not making the millions but the select one percent.

The book covers the store, the various pricing tiers and a lot of material can be had for 99 dollars once you become part of the Apple Developer Connection. It does give a good overview of the apple iTunes store for the un-initiated. The books in interspread with Interviews with successful UI designers who made it in the store, as well as the people from the industry (the advertisement industry).

The book can also be considered to be like a biography of the Tweeb application, its genesis , how it moved across and got what it needs to be a successful application.

The book is a good read and quite a lot of anecdotes, but then there is a bit of repetitive material but given the nature of the book and the fact that it is targeted at the noob, makes it a little bit of quick flip through some of the pages for somebody who has familiarity with the Apple Application Space.

The best part of the book, from my point of view, is the selection of tools that the book gives clues to use , though like an advertisement, it shows about the usefulness of some of the apps, and also provides other options. Particularly wire-framing part is full of great tips for the one to start scribbling their ideas into coherent set of documentation to share with the developer and to make it to the building blocks for a great application.


The other part of the marketing push with tips as to best sites that would generate the needed traffic is useful but can be more exhaustive. Did not talk much about the paid services that are offered for reviewing applications and how it helps in generating the foot falls required to generate interest in your product.

Overall, the book can take a three stars for the aggregation of content and the insight that it brings from some of the successful applications on the market. The book has a bit dated stuff too, but then in such a changing landscape it is expected. The book is definitely worth the time to the starter to the Iphone or any product guy to go and look into the details.
Labels:

Comments

Post a Comment

Popular posts from this blog

HIPAA - What is that we need to know .... Cyberawareness for a Health Care Organization

  Here is a detailed cyber awareness training for HIPAA candidates: Introduction to HIPAA: Provide an overview of the Health Insurance Portability and Accountability Act (HIPAA) and the importance of protecting patient information. Understanding HIPAA regulations: Explain the different regulations under HIPAA, such as the Privacy Rule, Security Rule, and Breach Notification Rule. Identifying and reporting breaches: Teach employees how to identify a potential breach of patient information and the proper procedures for reporting it. Phishing and social engineering: Provide training on how to identify and avoid phishing emails and other social engineering tactics. Passwords and authentication: Teach employees about the importance of strong passwords and multi-factor authentication. Mobile device security: Discuss the risks of using mobile devices to access patient information and the measures employees can take to keep the information secure. Remote access security: Explain the risks ...
Post a Comment
Read more

AI/ML Open Source Framework for adoption at an organization

  Data Storage : The first step in any ML pipeline is to store the data that will be used for training and testing. AWS offers various data storage options like Amazon S3, Amazon EFS, and Amazon EBS. Choose the one that best suits your requirements. Data Preprocessing : Data preprocessing is an important step in any ML pipeline. This step includes cleaning, normalizing, and transforming the data to make it suitable for training ML models. You can use open-source libraries like Pandas, NumPy, and Scikit-Learn for data preprocessing. Model Training : The next step is to train your ML models. You can use open-source ML frameworks like TensorFlow, PyTorch, or Apache MXNet for this step. AWS also offers its own ML framework called Amazon SageMaker, which provides a managed platform for training and deploying ML models. Model Evaluation : Once the models are trained, they need to be evaluated to ensure that they are accurate and reliable. You can use open-source libraries like scikit-lea...
Post a Comment
Read more

The Shifting Landscape of Knowledge and the Nobel Prize

Our recent conversation sparked some interesting thoughts about the prestigious Nobel Prize and the distribution of its recipients across the globe. Inspired by a user's search history, we delved into the fascinating patterns and potential implications of who gets recognized for groundbreaking achievements. The initial point of discussion centered on the user's search activity, which revealed an interest in various scientific and technological topics, as well as a specific search for "Nobel Prize winners by country." This led us to explore the geographical distribution of Nobel laureates, and a question arose: why does it seem that certain schools and countries, particularly in the West, have a higher representation? We considered several factors that might contribute to this observation: Historical Dominance in Science: Historically, Western nations have often been at the forefront of scientific research due to earlier investments and established infrastructure. V...
Post a Comment
Read more