Embedded Analytics – Your Decision making tool @ every turn !!

Today Embedded analytics is helping businesses move forward and helping them making right decisions.

So lets explore how – Data Driven Business Decisions are far more accurate than Goal Driven Decisions

It’s an exciting time for embedded analytics – in fact, it’s an exciting time in the tech world in general.

Cloud and SaaS services are in abundance – virtualization and other new strategies are making it easier to untether systems from hardware. At the same time, machine learning and artificial intelligence are adding to what digital platforms can do.

Another very exciting point on the horizon is the evolution of embedded analytics – the idea that you can get the power of analytics in a wider range of resources.

When it comes to embedded analytics, not everybody has the exact same interpretation of what this means. In a very general sense, embedded analytics means that user-friendly, self-service applications have analytics tools built into them, instead of the analytics being sourced through a more centralised – and often less accessible – model. So thats they Key. Analytics is built into the platform not sourced into the Platform – Says Techuva’s Architecture Team

Tools like QlikView or BO Report Adaptors – help end users to look for their much needed Analytics right inside application without the need for going a Report / Excel Download .

Example: –  A vendor providing a hotel management application for hotel chains could offer AI functionality to the chain overall and to the individual hotels. Globally and locally, insights from customer data could then be used to improve hotel service and occupancy.  So there by decision making for individual hotel and by global management remain data focussed and decision oriented.

Embedded Analytics can make life easier for users of the application. They can get insights directly from their data without needing to switch to another application. This saves time and effort. It also avoids the need for users to buy another application, or learn a new user interface.

Make or Buy ?

Analytics modules can be developed by own company or provided by a vendor. For embedding analytics in modern applications, it may make more sense to use an “off the shelf product” that specializes in this area. Software developers can then continue to focus on what they are good at, rather than trying to do everything themselves.

Therefore these embedded analytics  deliver the “Insights Your Customers wanted without having to switch elsewhere”.

If you are thinking of using embedded reporting via a product, use this checklist to help you make the right decision:

  • Independence – Can the BI or analytics module be embedded “as is” in your application? Or will it need additional tools or code to function properly?
  • Scalablity  – How many user requests can the module handle at the same time? Will it keep pace with increasing volumes of data and server power?
  • Cookie Cutter Experience  – How long will it take to make the BI or analytics module available to users? Normally, this should be faster than if you developed the module in-house.
  • Flexibility – What are the options for accessing the module from another program (via an API) or creating plugins to use the module’s functionality? Can you customize its output or appearance?
  • Security – How does the BI or analytics module make sure users see just the data they are authorised to see, and no more? How well does BI security extend to a multi-tenant environment and role-based security.

 

Embedded analytics primarily records, report and analyze every unique transaction, instance or process that takes place within the system platform. The captured data is fed into an analytics dashboard and is also available in various report formats.

Keep Reading
-Techuva Architecture Team

How Do You Know If Your UX is Good ?

“It looks beautiful!” “It’s pretty good.” “It does the job.”

These are NOT the worst things people could say about a user interface, but will you be confident that a “pretty” or “OK” user interface is capable of taking the Organisation to the next level ?

How would you define “pretty good” — having a nice appearance, solid design and quality graphics? OK, but do those qualities necessarily result in efficiencies and improvements to your business processes ? How do we scientifically prove it ?

Your answer lies in 3 points

  1. Heat Map Analysis  – This tool understands where the user is spending more time in filling forms, processing orders , approvals etc.
  2. Eyeball Analysis       – This tool understands where the user is spending more time in viewing a page, this helps us to determine whats the best spot in the application to place your AD or sales products.
  3. Under N Review of the UX  – This model allows us users to perform any action in a application under N clicks. This is achieved via the Digital Transformation Score or UX Click Review stream.

A good user interface can have a powerful impact on the usability and user experience of the application.

Eg: A hard-to-use application won’t be used efficiently, and it may not be used at all.

We should look forward to create an interface that enables and encourages end users to use an application frequently so they become more confident, efficient and productive users, says UX Architects of Techuva, who recently reviewed screens which could be across a Indian state by its Citizens.

Following are some real indicators of POOR UX 

  1. Slow task processing
  2. Increased errors
  3. Bad data
  4. Unreliable reports
  5. Slower on-boarding time
  6. Higher training costs
  7. Excessive help desk queries
  8. Low morale or output
  9. Attrition among the users.

 

Following are some real indicators of GOOD UX 

  1. Increased, faster user adoption : Self Starter Application
  2. Fewer errors while doing transaction.
  3. Lower costs in UX maintenance.
  4. Accelerated ROI
  5. A more engaged, satisfied workforce

How to define A Good Interface

Here are few key elements of a good user interface

  1. Perform Analysis on how to task done with a minimum amount of effort and errors   [Under N Analysis]
  2. Learn how to use the interface/application/software quickly, without extensive training or need for assistance [Digital Transformation Review]
  3. Remember how to use it the next time they sign on. [Digital Transformation Review]
  4. Analysis on how an alternative way to get the work done (i.e., manually, in a spreadsheet, etc.) [Digital Transformation Review] This is very important because User’s normally wanted to fall back to the old model always during the first 3 months.

5 Points to Consider during Design

  1. Consistent. No surprises, no ambiguities in process flow
  2. Simple, clear, concise – experience to users
  3. Intuitive. Easy navigation
  4. Responsive. Speed matters
  5. Flexible. It should be easy

3 simple things that best UX School suggests are 

1.Try out different design ideas before finalising it – Conduct Persona analysis , do UX study.

2. Set measurable goals and measure actual behavior – Watch your users, see how they perform.

3. Implement and evaluate   – keep watching over and over, keep making small changes.

 

In the end, a good user interface is one that enables efficiency, increases productivity, supports end users and saves your organisation money & time.

Stay tuned for more ….
– Techuva Architecture Team

Finally, Deep Packet Inspection – A Good Solution for Virus Attacks , Internet Worms etc – Read more.

In a Nutshell – Deep packet inspection (DPI) looks at the contents of data packets, rather than just their headers, leading to more effective security for your network devices.

With the increasing cybercrimes and web attacks prove that the existing web security is under threat in a continuous manner. Year 2018 Witnessed 21% jump in total Virus Attacks worldwide. Hackers are more and more hungry to sneak into your web security and destroy that web application you worked so hard on or share the data with your immediate competitors.

Moreover, with each passing day web attacks are getting smarter, and fighting them is a bottom-line requirement for your online business in order to stay afloat on the web. So, what does your web security standard desperately need? Continuous evolution backed by the research and analysis of recent web attacks.

Deep packet inspection (DPI) is one of the strongest players in the web security niche and it has the potential to outsmart modern web attacks. DPI is an integration of security functions, user service and network management, and these parameters are the building blocks of modern web security protocols. Furthermore, there is a high demand for a versatile web security layer in every sector of the web like big enterprises, global telecom services and governments.

The internet of things (IoT) is becoming a necessary evil for the modern world, as it is fostering new ways to build web attacks, and DPI is one of the best weapons we have for combating these threats. Remember “Every Connected Device poses a threat to the integrated Network”. So its like “Once its inside your network, Its inside already ! “

What Is Deep Packet Inspection?

Deep inspection is a process of network packet filtering. In this method, the data part of a packet is examined at an inspection point for the detection of any unwanted activity, such as spam, viruses, intrusions, or to define a network’s criteria to maintain its flow to the proper destination.

The system is also capable of extracting statistical data from the Open Systems Interconnection (OSI) model application layer.

Now, this is the place where DPI plays an important role. In the entire network of worldwide data flow, almost all of the information passes through unmonitored. In this case, DPI implementation involves uncovering the identity of the packet information. It doesn’t simply check a packet’s header and footer, but scans the data content in each packet. Only after meeting some special criteria of a highly selective firewall, the packet gets re-routed to a particular path which best suits it, depending on the bandwidth measurement.

Undeniably, DPI is the most efficient way of straining out every possible threat over the entire data network by disassembling and examining the payload, reassembling it, and then determining whether to reject it or to transmit it in the most suitable traffic. Not only that, DPI engines strengthen the security protocol by implementing stealth payload detection, signature matching and other similar activities.

So the Conclusion :

Data security is the goal of the day for any business, and only deep packet inspection can ensure this.

DPI is a good reason for celebration for web users. DPI is a shield for us, as it adds an enhanced level of data security to our existing web security system. The cyber world has experienced the blow of heinous attacks like DDoS, ransomware and others.

Keep Reading
-Techuva Architecture Team

Serverless Computing – Unleashing a new startup ecosystem

Serverless Architecture – Removing the Infrastructure Barrier, Forever !

While Server-less Computing isn’t new topic to the Development community, it has reached an interesting place in its development. As developers begin to see the value of this new architecture, a whole new startup ecosystem is about to begin around it.

Just Remember !! Serverless isn’t exactly serverless at all, But the big goal is to enable a developer to focus on Process and Feature Development and leave the infrastructure requirements completely behind to the cloud provider.

The enables the cloud vendors like Amazon – AWS or Azure or Google Cloud  to delivers exactly the right amount of compute, storage and memory and the product development team don’t even have to think about it. How Cool ! isn’t it ?

Remember the benefit it can bring to Startup ecosystems – Companies don’t have to worry about infrastructure at all, they focus on business growth and business scalability….

 

Advantage Factor – It is basically a cloud model where you pay only for the time your code is executed on the cloud infrastructure”

So the primary advantage of serverless computing is that it allows developers to get away all of the challenges associated with managing servers. “So there is no provisioning, deploying, patching or monitoring — all those details at the the server and operating system level go away” – thus making running business more Agile and Frugal, explains Techuva’s Architecture Team.. Who focusses on Cloud Migration , Building Cloud Ready Applications etc.

Early 2000, Companies love to handle their infrastructure on their own, each of the Fortune 100 Companies had their own vast data centres running 100’s-1000’s of servers, Because they love to handle , manage, operate things themselves… but this proved costly when they had to maintain it every single day & as the internet migration happened scaling up became a mammoth task, Fast forward 2015, 29% of Fortune 100% companies are 100% in cloud and around 44% are in some fashion cloud ready. By 2021, 91% of fortune 100 will be running all their mission critical applications in Cloud Infra and they expect most of their services to be running via “Server-less Infrastructure”. The “Pay As you Go” model is a boon, since it dont demand any initial infrastructure cost from the clients.

Evolution :

In the beginning we had physical servers, but there was lots of wasted capacity. That led to the development of virtual machines, which enabled IT to take a single physical server and divide it into multiple virtual ones. While that was a huge breakthrough for its time, helped launch successful companies like VMware and paved the way for cloud computing, it was the only beginning.

Then came containers, which really began to take off with the development of Docker and Kubernetes, two open source platforms. Containers enable the developer to break down a large monolithic program into discrete pieces, which helps it run more efficiently. More recently, we’ve seen the rise of serverless or event-driven computing. In this case, the whole idea of infrastructure itself is being abstracted away.

Big Advantages :

  1. Removing Scalability and Processing Complexity from Application Architecture.
  2. Easy of Development – Focus on Business Logic and Not on Managing Resources.
  3. Enabling Power of cloud computing – Do more with less.
  4. Cost Effective – Don’t need large physical servers or VMs

Few things to Remember, while choosing a Serverless Architecture

  1. Every thing is cost driven               :
    Hence be mindful.
  2. Everything is provider dependent :
    Mind it ! What works on one Cloud Provider – don’t have to work in the next one.
  3. Logging and Security                       :
    Since Infrastructure and Processing is managed by the provider, be watchful of the Logs , Exceptions and Security also.

Few Predictions on this topic by Analysts.

  • Increased lock-in behavior on the part of cloud providers 
    • Thus making customers stick to the cloud vendor.
  • Improved Service Discovery
    • Single Point visibility of the services
  • Reinvention of Debugging Technology
    • New modern methods to search / parse / view log files.

 

The way world is seeing it now :
Infinite independence + cost effectiveness + boundless flexibility = Happy Startups Everywhere!

for any free IoT / DevOps / Cloud Migration / Ideas  – write to us info@techuva.com

stay tuned for more..

Keep Reading !
– Techuva Architecture Team

Can Airlines or Travel apps predict your next travel ? An Interesting Insight

techuva banner

YES ! Your Airline does knows where you will travel next upto 61% accuracy.

airline cards
airline cards

Yes people travel for a wide variety of purposes like for Work, Tour, Leisure, Hobby etc. Airline Industry’s competition has reached a point where they are spending crores of rupees on data mining, pattern matching, browser cookies sharing, loyalty programs etc.

eg : The Loyalty Program of the private airlines are “BIG Golden eggs” for analysis and understanding their precious customer’s choices, pattern and several insights.

Big Data Analytics to Airline Loyalty programs is a classic example of data can be analyzed and understood in different dimensions. In airlines industry, transactions are an indicator of the satisfied needs of members, and not necessarily an indicator of the latest needs.

Members may not necessarily make the same transactions again and again in airlines, unlike industries like Flipkart of Amazon. Hence, looking at interactions data and open data augmentation can help airlines to predict the needs of customers better. Airlines can leverage such data to understand what type of traveler a member is and predict what destinations would interest him/her. It doesn’t ends there – Data is shared across their trusted partners. Collaboration is the Key.

Everytime when a customer books a ticket to destination – more offers and value additions of that place is shared to the customer to make “upsell”. Airline analysts feels that “Customer in hand, is worth 3 new customers”.

Consumers can get concerned when they are repeatedly targeted by blanket advertisements. However, they are delighted when they are served offers that match their needs. In this case, an airline loyalty program that truly understands you can make your dream trip a reality.

Predictive analytical techniques can help brands to pick up 6 different categories like persona attributes, needs, sentiment, nice-to-have, relationships and life events of their members from various data sources.

This enables Performance Marketing to be executed in the right manner, leaving users delighted.

For example, the date of your marriage or bday could be detected from the digital footprints you leave behind online. Airlines can leverage these techniques using cookies, shared data from other vendors to send the right offers at the right time. What if the airline loyalty program sends Alicia an irresistible “flights and stay” offer to the Goa or Singapore just in time around the bonus.

 

So Performance Marketing , Analytics & Upsell – It’s the future.

stay tuned.. for more.

-Shan
Techuva Solutions Pvt LtdA Digital Transformation & Personalised IoT Company focussed on delivering customised IOT Solutions.

Hybrid Cloud – Why Enterprises are moving there ?

Public Cloud – For the last decade, the cloud computing has been the focus of IT decision makers and corporate IT Heads, but many security-conscious businesses have been hesitant to move data and workloads into the cloud.

Now, with the underlying technology behind cloud services available for deployment inside organisations, a new model of cloud computing is gaining a foothold in business: the hybrid cloud.

What is hybrid cloud?

What customers want to do is simply use multiple clouds – like One or more public clouds connected to something in a data center. That thing could be a private cloud, that thing could just be traditional data center infrastructure.

Hybrid cloud is the combination of one or more public cloud providers (such as Amazon Web Services or Google Cloud Platform) with a private cloud platform — one that’s designed for use by a single organisation — or private IT infrastructure. The public cloud and private infrastructure, which operate independently of each other, communicate over an encrypted connection, using technology that allows for the portability of data and applications.

So in other words .. Hybrid cloud is particularly valuable for dynamic or highly changeable workloads. For example, a transactional order entry system that experiences significant demand spikes around the holiday season is a good hybrid cloud candidate. The application could run in private cloud, but use cloud bursting to access additional computing resources from a public cloud when computing demands spike. To connect private and public cloud resources, this model requires a hybrid cloud environment.

Public cloud’s flexibility and scalability eliminates the need for a company to make massive capital expenditures to accommodate short-term spikes in demand. The public cloud provider supplies compute resources, and the company only pays for the resources it consumes.

So for end-consumer -hybrid is defined cloud as: “Two or more disparate cloud computing environments that are used in conjunction to serve a workload or an application in concert through a single management plane.”

There are tools to manage the same, such as Egenera PAN Cloud Director, RightScale Cloud Management, CliQr’s CloudCenter and Scalr Enterprise Cloud Management Platform help businesses handle workflow creation, service catalogs, billing and other tasks related to hybrid cloud.

The benefits of going hybrid

With the hybrid cloud model, IT decision makers have more control over both the private and public components than using a prepackaged public cloud platform.  “you get everything that you want.” This includes increased efficiency and the flexibility to meet disparate needs.

So analysts calls this as “It lets you pick the right cloud for the right workload,”

Building a hybrid cloud with private infrastructure that’s directly accessible — in other words, not being pushed through the public internet — greatly reduces access time and latency in comparison to public cloud services.

Where hybrid doesn’t work

Although hybrid cloud provides several advantages over the public-cloud-only, it still suffers from the same privacy and security issues that plague the popular perception of public cloud platform providers. Allowing information to be transported across a network that can be subject to third-party interference or tapping is, to many organizations, an unnecessary and unacceptable security risk.

Who uses hybrid cloud?

The industries that are moving to hybrid, such as media and finance.

Hybrid clouds are frequently deployed in the financial sector, particularly when proximity is important and physical space is at a premium — such as on or adjacent to a trading floor. Pushing trade orders through the private cloud infrastructure and running analytics on trades from the public cloud infrastructure greatly decreases the amount of physical space needed for the latency-sensitive task of making trade orders. This is crucial for data security, as well. Threshold-defined trading algorithms are the entire business of many investment firms. Trusting this data to a public cloud provider is, to most firms, an unnecessary risk that could expose the entire underpinnings of their business.

Infact, Law firms also utilize hybrid cloud infrastructures with private elements, often as encrypted offsite data stores, to safeguard against the potential for loss due to theft, hardware failure, or a natural disaster such as a cyclones or hurricanes destroying the original documentation or evidence.

 

So ultimately, our conclusion –

While the upfront cost of server hardware for the private end of the hybrid cloud is high, the control that IT departments can wield over hardware selection and system design for the private component offers an invaluable way of properly tailoring resources to the business’s needs. Assembling a private cloud to handle a standard workload, with burst compute offloaded to the public cloud, can be a long-term budget-friendly arrangement.

Hybrid cloud allows organizations to leverage public cloud services without offloading the entirety of their data to a third-party data center. This provides a great deal of flexibility in computing tasks, while keeping vital components within the company firewall.

Stay tuned for more..

– Techuva Design and Artistic team.

Making Web Content Go Viral – A Big Deal today

Viral marketing can be as powerful as the internet buzz suggests, but the relationship between effort and reward is not always proportional.

Viral Marketing

So what’s it  & what is the buzz about it ?
Viral marketing refers to a technique in marketing a product or a service where users help in spreading the advertiser’s message to other websites or the users create a scenario which can lead to multi-fold growth.

e.g:  A Viral Marketing of Job Portal in India has lead to 19.5X growth in next quarter.. which lead to an explosion in business growth.

A much more bigger example is the “ALS Ice Bucket Challenge” more than 650,000 people posted videos of their ALS challenge world wide.

So many viral ad campaigns have capitalised on the massive popularity of viral videos. So what happens is that People pass the links around to each other, and the video acquires a much larger audience than its makers expected it to garner. It needs to have a special quality that lends it to multiple viewings.

Advertisers have been smart to embrace viral videos. Attaching a brand name to a video is a great way for a company to expose itself to people who might not otherwise be interested in that brand. – this is what many companies like Cadbury, Coca-Cola, P&G & other media houses have done in the past.

So what poses as a challenge : The problem with trying to use a viral video to advertise a product is that you cannot always anticipate what will become a hit. A video goes viral because there is something new or exciting about it that resonates with people – so 8 / 10 times , its hard predict the outcome.

Currently, There is no market research that would be able to dictate exactly what people want to see in a video. The whole point is that people want to see something that they have not seen before.

The best viral marketing campaign examples – most part of it is due to luck. Many of these brands released multiple videos, most of which failed to become sensations.

So technically – Viral marketing is the rapid sharing of an idea, a portion of this idea contains a marketing message about buying a product or service.. which all the majors brands capitalise .

So here are 4 things, The market research says about making your content a viral.

  1. Think outside of traditional marketing                     –  Looking for a new approach.
  2. Take your marketing into the real world                  – Connecting it to reality.
  3. Reward your customers                                            – Increasing the Loyalty Base
  4. Team up with unlikely partners                                –  Taking the road less travelled

 

So one of the key aspect to marketing is “being real”, Do remember Consumers cannot be fooled. The biggest mistake a company can make is to fake authenticity. Don’t even try.

So in a nutshell –

Viral content usually has a well-designed viral strategy behind it, it is, in part, also due to luck, but creativity and preparation are also extremely important… So being Unique, Being True is the key…

For a complete new brand experience – talk to us for free .  or email us @ info@techuva.com

Stay tuned for more.
– Techuva Design and Artistic team.

Robots are coming for your job — here’s what to do about it

Robots are coming

The fear of job loss due to automation is no longer relegated to only physical-labor manufacturing jobs and relatively simple transaction-based, customer-service workers (i.e., bank tellers, grocery store clerks, and travel agents). Companies are increasingly adopting sophisticated “cognitive” technologies across a new swath of knowledge-worker jobs in fields such as finance, health care, and insurance.

“Most of the benefits we see from automation is about higher quality and fewer errors, but in many cases it does reduce labor,”  So “Is Any Job Truly Safe?”

Technology has not only done away with low-wage, low-skill jobs. They cited robots operating trucks in some Australian mines; corporate litigation software replacing employees with advanced degrees who used to sift through thousands of documents prior to trials; and on Wall Street, the automation of jobs previously done by bankers with MBAs or PhDs.

This means 6 of 10 jobs can be automated and replaced by machines in the coming decade in Construction, Factory Operations, Driverless Cabs, Operation Theatres and IT and Middleware developments.. including IT system operation and management (analytics, big data and RPAs).

So what do we do ? Machines are becoming smarter, cheaper and adaptive learning also…

FIVE STEPS TO REMAIN RELEVANT AND EMPLOYED

While the Industry is a sobering representation of an industry-wide, knowledge-worker, job-loss scenario, there is an upside potential concerning the adoption of such advancing technology. It’s the promise of augmentation. Augmentation can be driven through five key strategies knowledge workers should pursue to add value to machines and have machines add value to them:

  1. Stepping up
  2. Stepping aside
  3. Stepping in
  4. Stepping narrowly
  5. Stepping forward

Individuals who take on these strategies must be willing “to burn the midnight oil to improve their own skills, and either make friends with smart machines or find a way to do things they cannot do. Complacency is not an option. But despondency isn’t required either.”

People who step up make high-level decisions. They are senior executives who decide where cognitive technologies need to be utilised, and how new systems fit into the business organisation overall.

Goals for IT / Operation heads of Companies are – “They are deciding what smart people do, what smart machines do, and how they work together.”

 

One the major challenges today are :
One of the big causes for the stagnation of middle class wages is essentially because of clever computer programs.

also “It’s easy to villainize technology,” but fact is – “but there is a lot of opportunity there at the same time.”

Big Companies like Uber has already made press statements like : “Uber is investing heavily in building cars that do no need drivers”. by 2025 – 50% of the worldwide cars will not require drivers and fossil fuels. They will all be Driverless and Hydrogen / Polymer Lithium-ion Cells, which needs to be recharged only once a month.

A Defence Secretary once said  – “The next war could possibly destroy mankind, but it don’t need a Army.. but more buttons”

 

 

 

 

 

 

 

Stay tuned for more info on Automation in operations – Customised Electronics – Next Major Revolution”

 

– Techuva 

Social Media and Sentiment Analysis – MyPollbook

MyPollBook

 

MyPollBook

Every Businesses have tried a wide range of ideas to analyze and predict customer behavior & their next move. Technological evolutions, the rise of social media, in particular, has massively increased the number of ways in which a customer can contact a company or look for new business.

Every message on social platforms like Facebook, Blogs, Digital Platforms have a potential to reach millions of people and thus it can work both ways. A good post can boost company’s market reputation many folds, while a simple complaint can also drastically bring it down – which is every company’s biggest worry

Thus, social media has become a major concern for businesses. B2C in particular faces this issue on a wider scale due to increase in the number of consumers and proportionately, an increase in the amount of data. But we are not here to simply state problems you already know exist. We are here to provide solutions. And the solution here would be Social Media Sentiment Analysis for business.

Why Social Media Sentiment Analysis is Important to B2C and B2B Companies?

Social media has become the marketing powerhouse for B2C businesses. Its important for Creating relevant, engaging and timely content in itself is a challenge for a majority of businesses today and amidst all the challenges of managing social media, one negative review can blow away all the efforts taken in popularizing your brand.

To circumvent this possibility,  businesses all over the world have employed many social media experts to handle issues before they become a threat to their brand. Social media sentiment analysis for B2C and B2B businesses monitors and analyzes this large dataset and generates insights into the consumer mindset.

Your next potential customer is already on the Internet looking for options and worst thing 2 out of 5 times they are lost to the competition..

 

This is how it works ..

Sentiment Analysis

 

90% of B2C marketers use social media in their content marketing programs, making it the most popular platform to publish content.

Social Media Sentiment Analysis are done by following techniques today :

  1. Creative Ads
  2. Blogs
  3. Polls
  4. Video Ads
  5. Integrated Ads

MyPollBook from Techuva Solutions is an integrated social networking mobile application which is aimed at millennials, corporates to share, chat, do polls, participate in campaigns etc. Get a fast answer while out in a shop or allow votes to flood in to your poll over time so you can make a more measured decision.

MyPollBook pushes polls to its customers (User Polls and Admin Polls) to its 1000+ viewers and help collect feedbacks real time. This model helps B2C or B2B partners to understand the sentiments / value position of their customers real time.

It helps to do 2 things quickly

  1. Net Sentiment – whether perception of your brand is positive or negative
  2. Passion Intensity – the strength of positive or negative feelings on social media

Following are things MyPollBook allows us to do :

  1. Competitive intelligence
  2. Campaign effectiveness and proof of worth
  3. Guarding your brand’s reputation

Algorithms used :

  1. Rule Based
  2. Geography Based
  3. Random Walk
  4. Semantic
  5. Semi Suprvised
  6. Triangulation

If you need a self-hosting plan and you are a school / college / business house (for your employees) etc… Have a One to One call with Our Architects

Our Pricing Model includes from Free to a custom built model which suits your requirements. Refer Pricing

So #KeepPolling & Stamp your opinion with us.

MyPollBook

DBaaS : Why ? DB As A Service & Its Benefits.

Database as a service (DBaaS) is a cloud computing service model which provides customers with some form of access to a database without the need for setting up physical hardware, installing software or configuring for performance. This is all taken care by the Vendor themselves.

All of the administrative tasks and maintenance are taken care of by the cloud provider directly. Sounds Very Easy rt ?. Of course, if the customer opts for more control over the database, this option is available and may vary depending on the provider.


The whole reason why you would use a cloud solution is easy scaling. The second point is crucial if you need to be able to do point-in-time restores of individual databases, or be able to easily move databases to separate servers.

 

Eg. When Techuva (An IOT , ERP Company based on India) had around 50+ IOT devices sending data every 2 minutes.. when they had to scale up to 200+ devices.. they didn’t had run around to buy new servers or  buy new hard-discs or enable large servers..  The Auto Scaling helped them to increase from 50 GB HDD to 200 GB HDD and increase from 4 GB ROM TO 16 GB ROM without any downtime.  Thanks to AWS RDS.

DB on Cloud and DBaaS enables automates installation, disk provisioning and management, patching, minor version upgrades, failed instance replacement, as well as backup and recovery of your SQL Server databases. Cloud Solutions also offers automated Multi-AZ (Availability Zone) synchronous replication, allowing you to set up a highly available and scalable environment fully managed by Vendors directly.

Well right now : All the DBA features aren’t available on the Cloud DB Solutions, such as :

  1. You need full control over the database instances, including access to the operating system and software stack.
  2. You want your own experienced database administrators managing the databases, including backups, replication and clustering.
  3. Your database size and performance needs exceed the current maximums, or other limits of the Vendor
  4. You need to use SQL Server features or options not currently supported

So, What are things that you need to worry, When you are data is lying in someone’s Cloud

  1. Review which IP or Domains have access to your DB.
  2. Periodically take Backups and Snapshots and store it in a different server.
  3. Have stronger Password restrictions
  4. Don’t store Personally Identifiable Information or Sensitive Information in Plain Text.
  5. Validate all the requests from the application for authenticity using a Hash Key or AuthKey or SessionID to avoid any eavesdrops.

Remember the hacker out there just needs access to your data and he can analyse & sell it to competition at this convenience,

So as a DB Owner / Application Owner – Keeping the dark horses away from your Data is Most Important,

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