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What Does a Business Analyst Do: Job Responsibilities and More!

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What Does a Business Analyst Do: Job Responsibilities and More!

A flamboyant, sophisticated technology lashed with a heavy stroke of sci-fi, AI and machine learning – is today’s data science. To manage, control and understand such an elusive concept, we need highly skilled data specialists – they must have mastered thoroughly the art and science of machine learning, analytics and statistics.

As the world is becoming more dynamic, the roles of data analysts and professionals are found to be increasingly inclined towards precision, versatility and eccentricity. More and more, they are expected to do things differently, posing as catalysts for change. They play an incredible role in inspiring others and bringing accuracy and accountability within an organization.

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Data Analysts Facilitate Solutions for Stakeholders

“Business analysis involves understanding how organizations function to accomplish their purposes and defining the capabilities an organization requires to provide products and services to external stakeholders,” shares International Institute of Business Analysis in its BABOK Guide.

The main job of a business analyst is to understand the current situation of a company and facilitate a respective solution to the problem. Mostly, a team of analysts work with the stakeholders to define their business goals and extract what they expect to be delivered. They gather a long range of business-fulfilled conditions and capabilities, document them in a collection and then eventually frame and strategize a plausible solution.

Analysts Have a Multifaceted Job Role

Mostly, they wear many hats as the tasks of analysts are widely versatile and always changing. Below, we have mentioned a few most common job responsibilities they have to perform every day:

  • Understand and analyze business needs
  • Address a business problem
  • Construe information from stakeholders
  • Fulfill model requirements
  • Facilitate solutions
  • Project management
  • Project development
  • Ensure quality testing

Enjoy a smooth learning experience from a reputed analytics training institute in Delhi – DexLab Analytics!

The Title ‘Business Analyst’ Hardly Matters

As a matter of fact, the title ‘business analyst’ doesn’t matter much. To fulfill the role of a ‘business analyst’, you don’t have to an analyst at the first place. Many execute the tasks as part of their existing role – data analysts, user experience specialists, change managers and process analysts – each one of them can feature business analyst behaviour.

Put simply, you don’t have to be a business analyst to do the job of a business analyst.

Business Analysts Act As Interpreters

As always, different stakeholders have different goals, needs and knowledge regarding their businesses. Stakeholders can be anyone – managers to end users, vendors to customers, developers to testers, subject matter experts, architects and more. So, it depends on the analysts to bring together all this knowledge and analyze the information gathered. This, in turn, offers a clear understanding of company goals and vision. It bridges the gap between the business and IT.

For this and more, business analysts are often compared with interpreters. Just the way the latter translates French into English – analysts too translate their stakeholders’ query and needs into a language that IT professionals can easily grasp.

Hope this comprehensive list of thoughts has helped you understand what analysts do in general!

If you want to become a data analyst or interested in the study of analytics, drop by DexLab Analytics. They are a one-stop-destination to grab data analyst certification. For more, reach us at dexlabanalytics.com

 

 The blog has been sourced from ― elabor8.com.au/what-does-a-business-analyst-actually-do

 

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How Students Select a Good Data Science Course?

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How Students Select a Good Data Science Course

Data science and analytics are in hype. This time, we decided to know what students look for while arming themselves in this new age field of study. For that, we bring you Analytics India Magazine’s recent survey.

We are on an interesting endeavor to tap into the key areas that IT professionals and aspiring candidates look up to for lessening the learning gap. Ready to join us?

Disclaimer – the below opinions are from budding data scientists – from young IT employees to fresh graduates; we have compiled them and presented in a concise way. All thanks to AIM.

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What key element to consider in a data science or analytics course?

For students, there are many preconceived notions about a course’s curriculum, faculty, brand name and even fellow batch mates. No wonder, it’s always tricky to focus only on a single key element.

Nevertheless, going by the survey, the respondents voted the most for course content, only to be seconded by hands-on experience. Yes, course content is the life and soul of data science and analytics training program. But, it’s not enough, it has to be supplemented by good hands-on experience and placement opportunities.

For more,

What should be the duration of the data science or analytics course?

Short-term or long-term? This is a very common question plaguing the minds of interested candidates –in the recent survey, more than 66% of respondents said they would choose short-term programme over long-term, and almost 55% said that they would prefer part-time skill-training programme than full-time.

What format would you chose for data science training courses?

Always, course curriculum should be in an easy to learn format. When the expert guys at AIM asked the respondents what kind of format do they prefer for their educational course, this is what they revealed:

  • 47% or more voted for a hybrid format of education
  • 28% said they prefer online learning method
  • Less than 25% of the candidates said they would like to stick to the old-school classroom method of teaching

What about Capstone Projects and Placements?

Capstone Projects are important. 92% of respondents vouched for that.

Another 57% said that placements are crucial too if you are thinking of making a mark in the competitive tech industry. Up-skilling is the key in today’s world.

When is the best time to opt for a data science course?

There’s nothing like the best time to enroll in a data science and analytics course. Anytime, you can start learning. However, the 43% of respondents believe that it’s better to take up business analyst training course right after graduation or post graduation.

On the other hand, 33% think that gaining some work experience prior to start training would be helpful.

For more such updates, watch this space.

If you are looking for a decent data analyst training institute in Gurgaon, DexLab Analytics fits the bill right. Drop by their site and gather information.

 

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#AskTheExperts: Best FAQs on Business Analytics

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#AskTheExperts: Best FAQs on Business Analytics

Do you want to make a living as a successful business analyst? Does the prospect of analyzing data and drawing meaningful conclusions interest you? Are you thinking of taking the next big step into the career of analytics?

The demand for business analysts is soaring. It’s even touted as the highest paid job in the field of management. The job profile of a BA includes understanding a business organization critically, tapping into the ongoing business problems and filing a proper documentation of all business requirements and securing future success for the organization.

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Below, we’ve whittled down few important FAQs on Business Analytics:

To understand or delve deeper into business analysis, opt for an excellent business analytics course in Delhi. Training courses as this will help you grab the hottest job in town.

Define business analysis.

Business analysis is a series of functions, implemented to assess the business needs and requirements and craft the best solution to ring bells of success in an organization or enterprise. This sequence of actions is generally performed by a business analyst.

Mention the industry and professional standards that a BA has to adhere to.

The most popular industry standards that have been set up for Business Analysts are OOAD principles and Unified Modeling Language (UML). They are recognized across the globe, so drafting requirements from any part of the world won’t be difficult.

What are the components of UML?

UML is a concoction of diverse concepts from a lot many sources.

  • For Structure: Actor, Attribute, Class, Component, Interface, Object, Package
  • For Behavior: Activity, Event, Message, Method, Operation, State, use case
  • For Relationships: Aggregation, Association, Composition, Depends, Generalization (or Inheritance)
  • Other Concepts: Stereotype – It qualifies the symbol it is attached to

Highlight the quality procedures that a BA normally follows.

Loud and clear, there exists no specific bar for such things, but if you ask us, Six Sigma and ITIL (Information Technology Infrastructural Library UK) have specific quality standards, which are more than enough. However, here we’ve enumerated some common things to consider:

  • Ensure the quality of communication is excellent and seamless.
  • Explore and decipher requirements of system functionality and user demands.
  • Collect, manage and analyze data for better business outcomes and future success of organizations in question.

Explain the procedure of Requirement Analysis.

JAD session usually precedes a Requirement Session. Business analysts, top notch sponsors and hardcore technical folks attend these significant sessions. In the end of the discussions, Business Analysts rifles through each requirement and asks from a valuable feedback. Now, if the sponsors and technical folks conclude all the requirements are as per business requirement, they will give an official signoff on business requirement documents, along with IT managers and business managers.

How do you define UML?

UML is the abbreviated form of Unified Modeling Language – which is referred to as a generic language for mentioning, envisioning, building and documenting the objects of software systems, business models and other non-software structures. Together, it’s a compilation of superior engineering practices that screams of proven success and functionability of large and complex models.

DexLab Analytics offers top of the line business analyst training Delhi – the course itinerary is crafted according to industry demands and seasoned consultants impart in-demand skill training to the aspiring candidates. For more information, visit their official site now.

 

The blog has been sourced from — www.wisdomjobs.com/e-university/business-analyst-interview-questions.html

 

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Citizen Data Scientists: Who Are They & What Makes Them Special?

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Citizen Data Scientists: Who Are They & What Makes Them Special?

Companies across the globe are focusing their attention on data science to unlock the potentials of their data. But, what remains crucial is finding well trained data scientists for building such advanced systems.

Today, a lot many organizations are seeking citizen data scientists – though the notion isn’t something new, the practice is fairly picking up pace amongst the industries. Say thanks to a number of factors, including perpetual improvement in the quality of tools and difficulty in finding properly skilled data scientists!

Gartner, a top notch analyst firm has been promoting this virgin concept for the past few years. In 2014, the firm predicted that the total number of citizen data scientists would expand 5X faster than normal data scientists through 2017. Although we are not sure if the number forecasted panned out right but what we know is that the proliferating growth of citizen data scientists exceeded our expectations.

Recently, Gartner analyst Carlie Idoine explained a citizen data scientist is one who “creates or generates models that use advanced diagnostic analytics or predictive and prescriptive capabilities, but whose primary job function is outside the field of statistics and analytics.” They are also termed as “power users”, who’ve the ability to perform cutting edge analytical tasks that require added expertise. “They do not replace the experts, as they do not have the specific, advanced data science expertise to do so. But they certainly bring their OWN expertise and unique skills to the process,” she added.

Of late, citizen data scientists have become critical assets to an organization. They help businesses discover key big data insights and in the process are being asked to derive answers from data that’s not available from regular relational database. Obviously, data can’t be queried through SQL, either. As a result, citizen data scientists are found leveraging machine learning models that end up generating predictions from a large number of data types. No wonder, SQL always sounds effective, but Python statistical libraries and Jupyter notebooks helps you further.

 A majority of industries leverages SQL; it has been data’s lingua franca for years. The sheer knowledge of how to write a SQL query to unravel a quiver of answers out of relational databases still remains a crucial element of company’s data management system as a whole lot of business data of companies are stored in their relational databases. Nevertheless, advanced machine learning tools are widely gaining importance and acceptance.

A wide array of job titles regarding citizen data scientists exists in the real world, and some of them are mutation of business analyst job profile. Depending on an organization’s requirements, the need for experienced analysts and data scientists varies.

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DataRobot, a pioneering proprietary data science and machine learning automation platform developer is recently found helping citizen data scientists through the power of automation. “There’s a lot happening behind the scenes that folks don’t realize necessarily is happening,” Jen Underwood, a BI veteran and the recently hired DataRobot’s director of product marketing said. “When I was doing data science, I would run one algorithm at a time. ‘Ok let’s wait until it ends, see how it does, and try another, one at a time.’ [With DataRobot] a lot of the steps I was taking are now automated, in addition to running the algorithms concurrently and ranking them.”

To everyone’s knowledge, Big Data Analytics is progressing, capabilities that were once restricted within certain domains of professionals are now being accessible by a wider pool of interested parties. So, if you are interested in this new blooming field of opportunities, do take a look at our business analyst training courses in Gurgaon. They would surely help you in charting down a successful analyst career.

 

The blog has been sourced from — datanami.com/2018/08/13/empowering-citizen-data-science

 

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#TimeToReboot: 10 Random, Fun Facts You Must Know About IT Industry

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#TimeToReboot: 10 Random, Fun Facts You Must Know About IT Industry

Indian IT sector is expected to grow at a modest rate this fiscal year, which started from April – companies are expanding their scopes and building new capabilities or enhancing the older ones. Demand for digital services is showing spiked up trends. The good news is that the digital component industry is flourishing, faster than expected. It’s forming a bigger part of tech-induced future, and we’re all excited!!

On that positive note, here we’ve culled down a few fun facts about IT industry that are bound to intrigue your data-hungry heart and mind… Hope you’ll enjoy the read as much as I did while scampering through research materials to compile this post!

Let’s get started…

Email is actually older than the World Wide Web.

Our very own, Hewlett Packard started in a garage… In fact, several other top notch US digital natives, including Microsoft, Google and Apple had such humble beginnings.

Bill Gates’ own house was designed using a MAC PC, yes you heard that right!

The very first computer mouse was carved out of wood. Invented by Dough Engelbart, first-ever mouse wasn’t made of any plastic or metal of any kind, but plain, rustic WOOD.

The QWERTY keyboard, which we use now, is simple, easy to use and effective. But, did you know: DVORAK keyboard was proven to be at least 20X faster?

The original name of Windows OS was Interface Manager.

Do you think 1GigaByte is enough? Well, the first 1 GB hard drive made news in 1980 with a price tag of $40.000 and gross weight of 550 pounds.

Very first PC was known as ‘Simon’ from Berkley Enterprise. It was worth $300, which was quite an ostentatious amount back in the 1950s, the year when this PC was launched.

In 1950’s computers were called ‘Electronic Brains’.

1 out of 8 marriages in the US happened between couples who’ve met online. Wicked?

 

Feeling excited to know all these stuffs… Now, on serious note, in the days to come, the Indian IT industry is all set to transform itself with high velocity tools and technology, and if you want to play a significant role in this digital transformation, arm yourself with decent data-friendly skill or tool.

The deal turns sweeter if you hail from computer science background or have a knack to play with numbers. If such is the case, we have high end business analyst training courses in Gurgaon to suit your purpose and career aspiration – drop by DexLab Analytics, being a top of the line analytics training institute, they bring to you a smart concoction of knowledge, aptitude and expertise in the form of student-friendly curriculum. For more details, visit their site today.

 

The blog has been sourced from:

qarea.com/blog/facts-from-the-it-industry

forbesindia.com/article/leaderboard/indian-it-services-sector-time-for-a-reboot/49671/1

 

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How To Incorporate Embedded Analytics In Your Products or Applications?

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How To Incorporate Embedded Analytics In Your Products or Applications?

The adept R&D team shares a common responsibility – devising incredible products and solutions.  Right from VPs and directors of development to DevOps and system engineers – every professional is well aware about their customer expectations.

In today’s data-driven industry, customers desire to collect information regarding product use, numerous status updates, number of times they engaged with the product and so on. In short, they need access to data that not only help unravel crucial insights but also makes the product fetching.

Definitely, you can create your very own analytics solution, but what if it takes so much time that your competitors outgo you? So, what next?

Embedding analytics into your product or application can be your thing for the day, but how to do it effortlessly?

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Collect Data from Various Sources

We are surrounded by IoT (Internet of Things) and IIoT (Industrial Internet of Things) revolution, where each connected device and sensor accumulates data and this collection and analysis of data is significant to customers. Teams need to sit together and discuss out options for creating an analytics overlay for the product, which will trigger a million questions – how can we get through it? Will our solution scale the growth of number of users? How can we go on improving our products? How do we keep up with all the developments happening in analytics?

Things to Consider While Embedding Analytics

“Start by looking for specific analytic applications that complement your ERP and BI platform investments. In the long term, review vendor capability to support reusable analytics artifacts (i.e., services) in a service-oriented architecture environment,” – says Gartner.

To this, we’ve listed a few functionalities waiting for your attention:

Data Access – How simple do you want your platform to be so as to integrate your data well across all sources and types?

Visualization – Does the platform you chose comprise widgets you need? If not, can you develop them using customization options?

Modeling – How much easier will it be to code for data preparation for user consumption?

Embeddability (iFrame, JS libraries, JavaScript) – Dashboards should be built in a way to suit your customer’s requirements either in mobiles or in web-based applications.

Extensibility (APIs, SDK, JavaScirpt) – No hard fact, for incorporating analytics workflow, solutions supporting API is the key. Otherwise, not getting extensibility will leave you tied to the same analytics platform and can cost you consulting fees and vendor-developed modifications.

Process integration – Generally, integration takes months – so find a vendor who is capable enough to integrate with your products in a week or two so that you remain focused on the benefits alone.

Security – Judge a vendor based on his security credentials – it’s one of the most crucial considerations to tick off your checklist.

As last thoughts, the consideration of these 7 functionalities is just the beginning of embedding analytics into your products or applications. To sail through, the most important thing to do is to choose a suitable vendor who will grow and start thinking of you as a partner and not just any customer. Let him offer you quick, easy and seamless integration, and you solely focus on your customer needs and preferences, and for this, they will LOVE YOU for sure!

If you are still confused about embedded analytics or related concept, let career-building business analyst training courses in Noida help you! For more information on business analyst training delhi, drop by DexLab Analytics.

 

This blog has been sourced from – https://www.sisense.com/blog/going-embedded-pillar-analytics-success

 

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Business Intelligence Software in the Key for an Organization to Gain Competitive Advantage

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Business Intelligence, or BI, is crucial for organizations as strategic planning is heavily dependent on BI. BI tools are multi-purpose and used for indicating progress towards business goals, quantitatively analyzing data, distribution of data and developing customer insights.

Advanced computer technologies are applied in Business Intelligence to discover relevant business data and then analyze it. It not only spots current trends in data, but is also able to develop historical views and future predictions. This helps decision-makers to comprehend business information properly and develop strategies that will steer their organization forward.

BI tools transform raw business information into valuable data that increase revenue for organizations. The global business economy is completely data driven. Companies without BI software will be jeopardizing their success. It is time to shed the belief that BI software is superfluous. Rather, it is a necessity.

Here is a list of 10 important things that BI solutions can help your organization achieve. After reading these you will be convinced that BI is vital in taking your business forward.

  1. Provide speedy and competent information for your business

Nowadays, there isn’t much time to ponder over data sheets and then come to a conclusion. Decisions have to be taken on the spot. Valuable information doesn’t include business data alone, but also what the data implies for your business. BI gives you a competitive lead as it provides valuable information with the push of a button.

  1. Provide KPIs that boost the performance of your business.

Business Intelligence software provides KPIs (Key Performance Indicators), which are metrics aligned with your business strategies. Thus, businesses can make decisions based on solid facts instead of intuition. This makes business proceedings more efficient.

  1. Employees have data-power

BI solutions help employees to make informed decisions backed by relevant data. Access to information across all levels ensures company-wide integration of data. This helps employees nurture their skills. A competitive workforce will help a company gain global recognition.

  1. Determine the factors that generate revenue for your business

Business intelligence is able to determine where and how potential customers consume data, how to convert them to paying customers, and chalk out an appropriate plan that will help increase revenue for your business.

  1. Avoid blockages in markets

There are many BI applications that can be incorporated with accounting software. Business intelligence provides information about the real health of an organization, which cannot be determined from a profit and loss sheet. BI includes predictive features that help avoid blockages in markets and determine the right time for important decisions, like hiring new employees. Easy-to understand dashboards enable decision-makers to stay informed.

  1. Create an efficient business model

As explained by Jeremy Levi, Director of Marketing, MarsWellness.com, ‘’ Why is BI more important than ever? In one word: oversaturation. The internet and the continued growth of e-commerce have saturated every market…For business owners, this means making smart decisions and trying to know where to put your marketing dollars and where to invest in infrastructure. Business intelligence lets you do that, and without it, you’re simply fumbling around for the light switch in the dark.”

  1. Improved customer insights

In the absence of BI tools, one can spend hours trying to make sense out of previous reports without coming to a satisfactory conclusion. It is crucial for businesses to meet customer demands. BI tools help map patterns in customer behavior so businesses can prioritize loyal customers and improve customer satisfaction.

  1. Helps save money

BI tools help spot areas in your business where costs can be minimized. For example, there is unnecessary spending occurring in the supply chain. BI can identify whether it is inefficient acquisition or maintenance that is translating to increased costs. Thus, it enables businesses to take the necessary actions to cut costs.

  1. Improve efficiency of workers

Business intelligence solutions can monitor the output of members and functioning of teams. These help improve efficiency of the workers and streamline the business processes.

  1. Protects businesses from cyber threats

Cyber crimes like data breaches and malware attacks are very common. Cyber security has become the need of the hour. Businesses should invest in BI solutions equipped with security tools that help protect their valuable data from hackers and other cyber attacks.

Businesses will progress rapidly through the use of smart BI solutions. Organizations small or big, can use BI tools in a variety of areas, starting from budgets to building relationship with customers.

If you want to empower your business through BI then enroll yourself for the Tableau BI certification course at DexLab Analytics, Delhi. DexLab is a premium institute providing business analysis training in Delhi.

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5 Expected Changes You Are Going to Witness Once You Move to SaaS

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Moving to the cloud takes time. One of our friends started with Salesforce in 2009, after 5 years they introduced G Suite (widely known as Google Apps during that time) and it’s now in 2017 that they have adopted a fully cloud-based electronic health record facility. It took 10 years for an organization to resort to a handful number of installed applications for smooth handling of specialized tasks.  

5 Expected Changes You Are Going to Witness Once You Move to SaaS

Nevertheless, their shift to Software-as-a-Service (SaaS) has had an impact on IT spending. Though the expenditure varies from company to company, every organization must have experienced these 5 changes highlighted below:

 

Let’s Take Your Data Dreams to the Next Level

Better networks

Unsurprisingly, people need and expect faster internet speed these days. Even small businesses have connections that deliver 250Mbps down and 75Mbps (or more) up. An interesting switch is being observed in infrastructure. Today, more or less any medium-organization boasts of 802.11n or 802.11ac WIFI networks, which was unimaginable even few years ago. Deploying wireless mesh devices has become the order of the day now.

Lesser computer upgrades

There was a time, when we used to think that we have to replace our computers every three or five years. In several cases, we had even planned to make a few upgrades to the hardware to keep them running (RAM and hard-drive replacement was a common thought).

But in reality, organizations seldom have to replace parts. In most offices, five year old desktops perform perfectly in delivering the right results. This means definitely days of upgrades are over, all that matters is a faster internet speed and robust app development.

 

More usage of “plug-in and use” systems

More and more companies are seeking so-called “sealed” systems. Though some big companies still go on deploying standardized drive images, but increasingly organizations are found picking off-the-shelf sealed devices, like all-in-one desktops and non-use-configurable laptops.

 

As organizations are moving towards SaaS, Chromebooks are becoming increasingly famous. In fact, more than 20% of the team mentioned in the beginning of the blog uses a Chromebook as their primary work device.

Longer life for devices

Devices, like desktops and laptops that have embraced SaaS seem to have a longer lifecycle. As SaaS mostly depends on browser and network performance, the need for replacing devices has decreased to a great extent. Systems work totally until the device fails to perform or no longer in a position to receive any updates. Also, with SaaS, crucial data don’t remain solely on the device, hence if a system fails, little seems to be lost.

Considerable attention to the peripherals

Peripherals are intimidating. A large number of conventional desktop units have a scanner, printer and copier devices that are supported by a locally installed Windows software or server. Organizations can easily find alternatives of these devices, but it will take some time and effort as well. Few applications and sectors still suffer from minor or significant glitches, but over time, we hope peripherals and accessories will start showing signs of improvements.

 

What changes have you noticed in cloud computing and storage? How do you think the landscape of IT has changed over the past decade?

 

 

To better understand the intricacies of cloud computing and data storage, opt for business analytics course in Delhi from DexLab Analytics. They offer excellent analyst courses in Delhi at really affordable prices. Check out the course itinerary today!

 

The article has been sourced from – https://www.techrepublic.com/article/5-changes-companies-will-see-after-moving-to-saas

 

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How India is driving towards Data Governance

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Data is power – it’s the quintessential key to proper planning, governance, policy decisions and empowering communities. In the recent times, technological expansion is found to be contributing immensely towards ensuring a sustainable future and building promising IT base. Robust developments in IT related services have resulted into key breakthroughs, including Big Data, which as a result have triggered smooth data governance.

How India is driving towards Data Governance

According to a NASSCOM report, India’s analytics market is expected to grow from $1 billion to $2.3 billion in the year 2017-18. However, the fuller benefits of data analytics are yet to be channelized by the public sector.

In a varied country like India, data collection is a lengthy procedure. At present, information is being collected by various government departments straight from Panchayat levels to state levels. Though, most of the data remains trapped within department walls, it is largely used to pan out performance reports. Also, certain issues in timely collection of data pops up, while sometimes the quality of data collected becomes questionable, hence delaying the entire analysis.

 

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Quality data plays an integral role, if analyzed properly at the proper time. They can be crucial for decision-making, delivery of services and important policy revisions. As a matter of fact, last year, Comptroller and Auditor General (CAG) initiated Centre for Data Management and Analytics (CDMA) to combine and incorporate relevant data for the purpose of auditing. The main purpose here is to exploit the data available in government archives to build a more formidable and powerful Indian audit and accounts department.

Indian government is taking several steps to utilize the power of data – Digital India and Smart Cities initiatives aim to employ data for designing, planning, managing, implementing and governing programs for a better, digital India. Many experts are of the opinion that government reforms would best work if they are properly synchronized with data to determine the impact of services, take better decisions, boost monitoring programmes and improve system performances.

Open Data Policy is the need of the hour. Our government is working towards it, under the jurisdiction of the Department of Information and Technology (DIT) to boost the perks of sharing information across departments and ministries. Harnessing data eases out the load amongst the team members, while ensuring better accountability.

Tech startups and companies that probe into data and looks for solutions in data hoarding and analytics to collect and manage complicated data streams need to be supported. The government along with local players should encourage citizens to help them in collecting adequate information that could help them in long-run. India is walking towards a rapid economic development phase, where commitment towards information technology, data governance and open-source data is of prime importance. For the overall economy, bulk investments in capacity building, technology implementation and data-facilitating structures should be considered and implementable to bring plans and participation into place to hit off a better tech-inspired reality.

For data analyst certification in Delhi NCR, drop by DexLab Analytics – it’s a prime data science online training centre situated in the heart of Delhi.

The original article appeared on – https://economictimes.indiatimes.com/small-biz/security-tech/technology/indias-investment-in-big-data-will-ensure-governance/articleshow/57960046.cms

 

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