The last decade was marked by the invasion of new data sources such as online clickstreams. Cloud-based analytics made low cost acquiring of massive amount of computing power at a short period of time possible. It is now common with the small companies as well. Many companies are using Hadoop-based data lakes to store a large amount of data till it is structured and analyzed. Hive and Python are mostly used for scripting, Spark for streaming data and R for statistics have gained popularity. Analytics has been integrated with the production applications. Thus, Analytic technologies have evolved over the years as more powerful and less expensive. Read more at https://hbr.org/2017/06/how-analytics-has-changed-in-the-last-10-years-and-how-its-stayed-the-same

Three principles of data science are: (i) the system built should perform well on future data sets and not just the current data set. Conclusions made on the basis of the current scenario are not always true for future cases, (ii) feature extraction is important, i.e. specifically finding the information that is required, by finding the correct elements, (iii) understanding and developing the correct model is the most important task. These are a few principle experiences which are not stated anywhere. Read more at: http://www.datasciencecentral.com/profiles/blogs/three-things-about-data-science-you-won-t-find-in-the-books

With the increase in cyberattack throughout the world, it has become extremely necessary to install cybersecurity which uses digital technologies to protect company networks, computers and programs from unauthorized access and subsequent damage. With the market rapidly digitalizing itself, it is necessary for them to secure it. The focus must be on safeguarding the data spread across devices and cloud. There are different techniques used by hackers to attack the company’s data source, also there are ways to combat these attacks by network defense, mobile device protection, investment in securing IoT devices etc. Artificial Intelligence is used to learn new malware behaviors and correct them. Thus, cybersecurity is a key factor for every organization while digitalizing itself. Read more at: http://www.datasciencecentral.com/profiles/blogs/cybersecurity-in-digital-age

Social Media is a powerful marketing tool. However, a social media marketing mess can turn out to be costly. Here are the top 7 tips avoid mistakes.

1. A little money should be spent to broaden social media reach and to target specific consumer groups.

2. Choosing the right social media platform is important. 

3. Know the target audience well.

4. Take expert help because attractive content is the key.

5. Potential prospects and existing customers should be given equal attention.

6. Focusing exclusively on sales promotion may not be useful.

7. Never ignore the customer feedbacks.

Read more at https://www.prdaily.com/Main/Articles/22846.aspx

Internet of Things is creating a revolutionary technology space and the connected devices are producing an enormous amount of structured and unstructured data which can be analyzed to give insights. Retail stores can with the help of VLC technology store information about the customer and analytics can decipher his buying patterns. IoT connects everything in our daily lives from smart homes to transportation to health which generated huge data. Businesses are able to take timely decisions and can even predict events by analyzing data from IoT. They have gone from reactive to proactive. Read more at https://www.experfy.com/blog/integrating-iot-with-big-data-a-revolutionary-step

Daily, new business starts-up but very few are successful.  The reason is that their focus is based on their idea and not their finances. So, lack of innovation, mismanagement of financial resources, failure to hire the right people, inability to access capital; inability to adapt to changing business environment and immigration policies gets included in the issues of start-up failure. These three strategic financial plans should be included by small businesses to fix failures. 1) Being acquainted with the business cash flow analysis. 2) Hiring a consultant for specific services. 3) Embracing strict financial discipline. 4) Using VPN and private internet connection to prevent any average hacker from attacking the data while using open Wi-Fi source. Read more at: http://newsvader.com/id/17256442225

At present, Cell phones are being considered obsolete and being replaced by Smartphones because smartphone is capable beyond the function of regular cell phones. Smartphones keep people occupied all the time. People who are shopping, or in bar or during work constantly keeps on checking their phone for Facebook, twitters or mails and continue replying. This is what the level of people obsessed and consumed with the smartphone. Recent study says that if one is sitting and working at desk, his eye and sub-conscious mind is looking to figure out some time for checking the phone updates and in this way, the work lacks focus. Read more at: https://www.entrepreneur.com/article/296562

After the Government’s Initiative to help start-ups, many youngsters are becoming inclined toward their own start-up. Starting a new Business and taking it to the level of success is tougher job than working with MNCs. Also, the possibility is very less. So, some aspects should be considered before starting a Business: 1) Every Entrepreneur should know at least one web development tool and one programming language. 2) Entrepreneur should never initiate a business which is completely dependent on funder’s money. 3) Every Entrepreneur should play with their own strength first. 4) Every Entrepreneur should learn to say “No”. Read more at: https://www.entrepreneur.com/article/296286

More than 4 billion searches are performed through Google with a need and those businesses that can fulfill these needs are the ones who are gaining success. To attract customers to any brand, one needs to grasp what people are looking for. This is what user intent is. There are three types and stage of User intent: Navigational: user looks for something specific, Informational: User is researching and gathering information about the product, Transactional: In this stage, the user is ready to buy. The brand must be ready for these three stages of user intention. Below are the ways that helps in determining user intent: 1) Going beyond key words. 2) Considering the buying cycle. 3) Identifying the queries. 4) Understanding the customers. 5) Ask your customers directly. Read more at: https://www.entrepreneur.com/article/294650

Is big data serving these businesses or is it just obscuring the decision-making procedure? Collective with analytics, Big data has numerous applications and is cast-off to find responses to glitches in a variation of businesses, it can benefit them comprehend customer behavior and get the most out of business procedures. But like so numerous things that complete good in concept, it’s not precisely working out for numerous organizations. 36% say that it has caused data overload and has made procedure of decision making poorer. Combination of the info with classy analytics tools can benefit organizations to turn rare and formless data into planned insight to get ahead of the struggle.  Since more business operators need to be able to take this data and produce intellect around it, demand is increasing for analytics tools. Read more at: http://www.hadoop360.datasciencecentral.com/blog/is-big-data-harm-or-good

Google came with Android O and Apple came up with IOS 11. So, which one’s winning the race? The nutshell answer is Android O. A comparative study has been done to show this. Android O: multitasking, notification dot on the app icon, intelligent text selection, auto-fill, prolonged battery life. IOS 11: pay through iMessage, collaborating speakers, beautified AR effect, live photos, less memory clogging, DND while driving.  Both are equipped with voice assistant, but Google is a step ahead and can recognize objects and you can type queries relating to those objects if you don’t want to speak them. Apple is way backdated with AR and VR as compared with Google who uses AI. Read more at: https://www.entrepreneur.com/article/295854

Flipboard can be used for client branding products but also used as a blogging tools these days. There can be different blogging approaches. 1)The Flipboard Traditional Blog: For an easier read, articles from existing blogs are added. It helps in subdividing categories and is a great method to share. It helps in gaining visibility. 2)The Flipboard Enhanced Blog: It is a higher version which includes the ones in traditional blog plus the Flipboard tools. It is easy to read and if you are not interested then you can ‘flip’ to the next section. 3)The Flipboard Supercharged Blog: The entire blogging happens in the app. It is an ideal format for personal branding and public speakers. The other two styles of blogging can also be followed with the last one to add more content. After you are done with it, what’s next? Now invite other bloggers to share their stories in your magazines. This method is of tremendous potential if one has a business. Read more at: http://www.business2community.com/social-media/effective-use-flipboard-using-app-blog-01866368#5sc8IXrgOJLbeHfU.97

In the present scenario, as the layoffs are going on in IT industry, economists predicted that Indian market can absorb it in the next 2 quarters. But the recruitment will rise more for senior-level and CXO compared to entry and middle-level hiring because of disruption by automation. Companies should effectively and continuously measure the quality of their hires with productivity evaluation, feedback from hiring managers, employee retention. Also, to retain the employees, employer branding is necessary. This cannot be achieved overnight, and takes a sustained effort from all existing employees to create. For this, of course, the right sort of environment needs to be created at the workplace. It will make it easier to attract the best people. Read more at: https://www.entrepreneur.com/article/295600

Nowadays, many organizations use data and analytics to understand customers, develop new products and optimize business processes. 

“Organizations able to take advantage of the new generation of business analytics solutions can leverage digital transformation to adapt to disruptive changes and create competitive differentiation in their markets,” said IDC analyst Dan Vesset in a statement issued in conjunction with the release of IDC’s Worldwide Semiannual Big Data and Analytics Spending Guide earlier this year.  A recent Forrester Research study also found that, 50% of businesses now use data and analytics tools to analyze their existing customers, while 48% use them to find new customers and 47% use them to develop new products and services. Read more at: http://www.cio.com/article/3147293/analytics/analytics-50-how-big-data-innovators-reap-results.html#tk.ciofsb

How will Artificial Intelligence facilitate the healthcare sector? This is the question that needs to be answered. The greatest returns to investments are likely to come from medical imaging and diagnostics and drug recovery. According to Accenture, virtual nursing and robot-operated surgery can be efficient and cost effective. Fraud detection and error in dosage detection can be performed by AI. Thus, healthcare sector can grow at a tremendous pace using AI. Read more at http://fortune.com/2017/06/19/healthcare-artificial-intelligence-accenture/

Businesses need to keep track with the dynamic environment, changing competitor strategies and its market share to stay ahead. But to do this companies hire analysts or redistribute work among the existing employees. This involves an additional money cost apart from the time taken to select appropriate employees. Also there involves dissemination of information after figuring out its format. Outsourcing a market intelligence service to MI provider such as Sigmaway LLC  would reduce effort and cost of the company where a skilled team of analysts are better able to monitor changing patterns. Read more at: http://www.shiftcentral.com/the-benefits-of-outsourcing-an-mi-service

The reason behind continuous increase in efficiency and productivity for some businesses is their clear focus on a culture of continuous improvement and innovation. In majority of the cases, the reasons behind weak process culture are- lack of staff management, little or no collaboration among employees along with low morale, and unhelpful business process documentation. Fortunately, this weak process culture can be fixed. The fixing process starts with demonstration of active leadership. This requires some engagement and communication with the staff like celebrating the successes, making communication personal and fostering healthy competitions, and using discussion threads along with the ‘like’ button for feedback. The other fixing step is to Appoint Chief Process Officer(CPO) and process champions to communicate their vision of improvement to the entire staff, and substantiate it with evidences. All this can’t be successful until the real process owners, i.e., those responsible for operating the process efficiently, are not empowered. Read more at: http://www.utilityproducts.com/articles/print/volume-21/issue-5/feature-stories/secret-to-unleashing-an-unstoppable-improvement-culture.html

Interactive data analysis is very important so as to avoid making wrong mindless conclusions about given data. Firstly, it saves one from wrongly reporting values which are not statistically possible. IDA is also required for the development of new technology. Data analytics is also useful in fields like biomedical research. But IDA and data analysis workflows are not fully appreciated by decision makers, although implementing workflows when they are not matured enough can have negative effects. For developing rigorous tools IDA is very important, it is needed to assure that the process is performing well and as expected. Read more at: https://simplystatistics.org/2017/04/03/interactive-data-analysis/

The first and foremost usefulness of artificial intelligence lies in the fact that it helps companies to predict the outcome of a conference call which is profitable for the company. AI is mainly based on machine learning and it helps in solving problems using past experience, known variables and outcomes, thus replacing the jobs that were previously performed by humans. But in case of company outlook this cannot be used as there are no past experiences to depend on, also risks and opportunities maybe overlooked. AI can also be useful when there is ‘bionic fusion’ which is facilitated by meta-vision. Meta-Vision helps in navigating market forces and assessing the competition to monitoring public relations media engineering. Thus, it can be seen that with the help of AI and meta-vision, predictions can be made about quarterly earnings calls, earned media, etc. Read more at: http://www.datasciencecentral.com/profiles/blogs/artificial-intelligence-in-enterprise-meta-vision-improves

A logical data warehouse is a data management architecture for analytics, which combines the strengths of traditional repository warehouses with alternative data management and access strategy. It provides an abstraction and integration layer that hides details from users of the data, thus allowing the users to easily access data in traditional data warehouses. With the growth of data volume, data will be multi-structured and won’t fit into the existing databases, thus leading to the formation of many data stores which won’t allow getting full value out of the data. Whereas, the logical data warehouse allows one to access and govern these different data stores as if they were a single logical data store, thus making it easy. Read more at: http://www.datavirtualizationblog.com/logical-data-warehouses-matter/