An agile approach is to identify smaller data governance initiatives based on strategic projects or business needs, and build from there.

Following these steps, the data governance program can be set up as a highly structured organization and set of defined processes with tools and templates, or it can be set up as a less structured team of individuals who work together to accomplish the goals and work through the roadmap.

The approach you decide to take should be one that correlates to your organization’s culture, data management maturity level, data governance objectives and desire for structure.

Can data governance be agile? Many organizations are now recognizing the need for data governance but are still struggling with the right way to structure it. Read more at: http://www.cio.com/article/3203410/data-management/can-data-governance-be-agile.html

Despite the challenges that lie ahead to start the big business at once, there is a way to become a millionaire even when one starts with smaller investment. One should: 1) Focus on Learning, not big gain. This builds foundations for long term gains. 2) Learn loads about any topic online. This will advance one much faster. 3) Focus on the Niche one loves. This will provide huge gains. 4) Prove your expertise by creating free content. In this way, try to earn reputation through the content and this will help one to build relationship with the others who value your work. And from there, everyone gets richer. Read more at : https://www.entrepreneur.com/article/296109

There is no more secret that every Business or Industry needs App for growth. Mobile app developing companies had revenue figures of $69.7 billion in 2015 and expected to have $189 billon by 2020. Companies are always looking for the app which has easier interface and marketing of the app. There is also some myth about Mobile Apps: 1) Users and Customers are synonyms: This is not so, only 10% of users are customers. 2) Good apps don’t need marketing. This is also not true. 3) Many Company thinks that users have stopped downloading apps but this is just a rumor because people installs and uninstall the app daily. 4) Developing Mobile apps are costly job depending on the type of app. 5) Few mobile apps need the internet. Read more at : https://www.entrepreneur.com/article/296230

The Reserve Bank of India has set up small and payments banks in India for fulfilling the aim of financial inclusion in India. Non-Banking Finance Companies, telephone companies, super-market chains and public-sector entities can set up payments banks. Small banks can be promoted by individuals with related experience or companies. NBFC’s and MFI’s can convert themselves into small banks. The main objective of small banks in providing credit to small farmers, micro industries or another unorganized sector. Payment banks provide small savings account and remittance services. These banks are not allowed to lend credit. Services by both these banks are restricted to neighbouring districts though later on they can expand their operations. Read more at: https://www.legistify.com/blogs/view_detail/606-small-payment-banks-future-of-local-banking

To analyze and harness the data properly, businesses are now using a technique called IoT that will that will leverage the data internally as well externally. Organizations are using IoT data technology for profit maximization, for efficiency and also for decision making. Cloud computing help business by IoT method. Therefore, business intelligence must be brought up with continues method. Read more at:
https://industrialinternetnow.com/deciding-factor-utilize-iot-data-analytics-business-intelligence/

The intellectual strength that is overpassing humans and releasing more like a virus. The power of Machine is getting stronger than can human possesses or possess to think. Several areas where prediction is just a matter of seconds for machines are creating more influence than humans esp. in the field of Medicine. Many universities are allowing their work to adapt with AI learning by different nodes. On the other side, the search engine Google also making plans enrolling AI developments. Read more at: "target_blank>https://www.engadget.com/2017/05/31/ai-is-already-beating-us-at-our-own-game/

With the stress towards financial inclusion by the Indian Government and adoption of online banking and digital payments, a greater need to manage huge data arises which increase revenue and bank’s customers’. Data analytics can manage greater systematic risks. Also, effective engagement with customers is possible with technologies like chatbots. Innovations would attract new customers in a dynamic and competitive environment. Profiling as well as looking at the life cycle of each customer would create opportunities for more avenues of revenue and thereby minimizing risk of defaults. Getting a market overview by means of data analytics would help banks in deciding on their business strategies. Read more at: http://analyticsindiamag.com/data-analytics-expedite-financial-inclusion/

"Online shopping will be drastically affected by implementation of GST.  The article explains how GST will bring changes in online shopping, the areas which will be affected by this are:

• Tax collected at source

• Faster delivery

• End of freebies and discounts

• Shopping from global players

• Returns and cancellations will get difficult 

Read more at: 

http://economictimes.indiatimes.com/articleshow/59319112.cms?utm_source=contentofinterest&utm_medium=text&utm_campaign=cppst"

R Programming is used for analyzing data as well as for the prediction of data. Using data models are made to further do analytical analysis. Models once made are then further predicted  using the function predict(). The article further explains the method of prediction using an example. Read more at: 

http://www.dummies.com/programming/r/how-to-predict-new-data-values-with-r/

The company’s financial position and the employee’s performance are the two main reasons to fire employees with many other reasons affecting this decision as well. One of the other important reason affecting losses of job is the place of your work and where the company is located. Based on factors affecting a city’s employment conditions, loss of job for current employees vary. The article further lists the cities in order of job risks associated with the tier1 cities. In order of highest to lowest risk Delhi comes first, followed by Bangalore, Hyderabad, Ahmadabad, Mumbai, Chandigarh, Chennai, Kolkata, Pune.Read more at:

http://economictimes.indiatimes.com/articleshow/59159053.cms?utm_source=contentofinterest&utm_medium=text&utm_campaign=cppst

Cloud services have grown to become an evident part in providing online services and data storage over the past few years. But there are still some strategies that would define or make a better cloud service.

The very first could be the co-located cloud service which would prove a higher speed of access Another important aspect would be easily cost figuring with better management and storage computation and services. Usage of hyper converged infrastructure (HCI) solutions offer pre-integrated compute, storage and networking resources to the private cloud.  And lastly getting the old apps by lift-and-shift method could provide an advantage to the company, although that would be in exchange of a good amount of migration cost. Read more at: http://www.cio.com/article/3137946/cloud-computing/6-trends-that-will-shape-cloud-computing-in-2017.html

Today’s generation is health conscious and use wearable devices to track their fitness levels. This constantly generates data and we should be able to draw a comparison on different datasets or data collected from various devices. Lumo BodyTech, a fitness related tech company, created a platform (Lumo Motion) to analyse such data. People can monitor, regulate their health and get accurate advice. Lumo Back and Lumo Lift tracks the posture and combined data can be used to learn about the best posture. Even though the progress is limited but with growing number of products joining the platform, data is comparable from a wider range. Read more at: https://readwrite.com/2017/06/28/iot-will-let-you-understand-your-workout-data-better-hl1/

As AI is moving forward the need for marketing in financial services is diminishing. Generative tools use computers and algorithms and are widely used within Financial Services. So why does that mean financial services marketers are doomed? AI does financial work by simply crunching thousands of data points, factoring in current constraints, predictive models for how things are going to change, and the individual’s goals. AI is making all decisions. Marketers are probably not going to start marketing to AI. More likely, marketers would shift focus to trying to influence the parameters humans input into the AI.  By providing an appropriate media mix to AI we can achieve goals within the budget. AIs are used by both consumers and the companies. Consumers will leverage AIs to optimize their lives and businesses will use AIs to create more personalized products and services. In this future, marketers will ultimately end up marketing to the AIs directly.Read more at : http://www.business2community.com/finance/will-ai-make-financial-services-marketing-obsolete-01855073#LExeE9rhBiBleQLc.97

Financial capital is relatively abundant as compared to human capital. Inspired employees are rare who are capable of making a difference. Thus, inspired employees are an asset to companies. Both financial capital and human capital can be maintained efficiently by following these steps.

1. Measure human capital using productive power index.

2. Invest equally in human capital and financial capital. Consider the opportunity cost of time and talent.

3. Monitor it by measuring the actual and expected results.

4. Productive employees should be rewarded to inspire them.

Read more at http://www.humanresourcesonline.net/how-can-we-manage-human-capital-as-well-as-we-manage-financial-capital/

One of the common business challenges is that the required information by business users is not provided fast enough. The most commonly used company’s data structure is an Enterprise Data Warehouse (EDW), where when information is required, a data mart is created in a separate database, this process is problematic due to the cost of maintaining multiple databases and also the integrity and consistency of the information stored is questionable. However, the delay between the time that the information is required and when it is provided is the real problem. So, the following changes must be made in order to succeed. An information system that transforms data into relevant information very quickly should be provided and all databases should be centralized from the same point. Also, real-time information should be provided and the time to market with short and agile projects should be improved. And finally, new sources of information of different types should be incorporated. Thus, the companies should consider the logical data warehouse approach. Read more at: http://www.datavirtualizationblog.com/enterprise-data-warehouse-no-longer-suffice-data-driven-world/

To prepare for the General Data Protection Regulation, companies need to find a way to establish security controls over the entire infrastructure from a single point. Without investing in new hardware or re-building existing systems, data virtualization allows companies to quickly and easily comply with data protection regulations. There are three ways in which this can be done. First rule is not to replicate the data which will lead to governance and security nightmares. Second is that data virtualization makes it possible to apply consistent levels of security across the heterogeneous data sources which contains the data. Finally, data virtualization removes the need for replication and latency of updates of customer information, thus providing users accurate information as applied in the system of record. Thus, data virtualization can help in data protection. Read more at: http://www.datavirtualizationblog.com/3-steps-data-protection-compliance-gdpr/

Data Analytics has widespread impacts on not only commercial sectors but also healthcare. For example: First is by checking on hospital activities by maintaining relevant databases can help in finding inefficiencies in service provision and the overall costs of a healthcare facility can be reduced. Second is that data analysis also helps in allocating funds efficiently thus reducing the chances of embezzlement. Third is a database of patients’ records and medical histories can be maintained, which can provide a communication medium for the patient and every other individual working on that case. Also, if a healthcare facility is operated in multiple units, analytics can help ensure consistency across all facilities and specific departments. Lastly, storing staff data and keeping a check on their performance is important. Read more at: http://www.datasciencecentral.com/profiles/blogs/data-analytics-is-transforming-healthcare-systems

Businesses can get recognized by various methods. But we need to consider the effectiveness and results of these methods. Social media when combined with right content can do wonders. There must be a good starting point at first. Then we create funnel method using the blogs. First, we set the goals and then do continuous evaluation at a regular interval. We must ensure that our blog posts create an impact on people. Then only we must publish the blogs and create a marketing collateral. These posts must be shared among the various social media platforms. The idea behind the funnel strategy is that the content should be apt and the targeted audience should be attracted towards it. Read more at: https://www.entrepreneur.com/article/296052

Social listening is all about searching the web for mentions and conversations that are of specific interest and analysing those to gain meaningful insights. Campuses use this marketing tool to create new programs, measure brand awareness etc. Data can be easily assessable and analysts with right sets of tools can analyse the trends. Research analysts at Brandwatch analysed conversations about college search to scrutinize the behaviour of students and parents on their concerns about colleges. They were able to get most frequent words used and also a word cloud showcasing sentiments. Social listening can be used in other areas of campus as well such as selecting academic programs and alumni relations. Read more at: http://www.carnegiecomm.com/blog/the-next-wave-of-market-intelligence-social-listening/

Financial Institution i.e.; Banks have started specialized services for start-ups. 1) Branches have been opened for them to meet their ever growing financial needs. 2) API has been opened for start-ups which will provide access to start-up to the real-time data of a bank, giving the banks power to innovate and solve a real-time issue. 3) Online Advisory Platforms by many banks offers entrepreneurs assistance in registering and even incubation services. 4) Along with investor network, Banks are also funding start-up. 5) Banks offer them a hassle-free process to open accounts that let them have zero balance for the first six months. 6) With the rise of digital money, there is increased involvement of fintech aspect in each start-up, banks come in handy for most start-ups by offering payment gateway services. Read more at: https://www.entrepreneur.com/article/296057