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Why enterprise analytics is a business imperative and how it benefits businesses?

Why Enterprise Analytics is Vital?

Leveraging data and excerpting insights from it has become indispensable for businesses. As the corporate world is increasingly dealing with the ever-growing information age, utilizing data can be a growth factor for them. This means they require the ability to manage and evaluate big data that can maximize the business value buried within their data sets . Integrating the right enterprise analytics strategy assists organizations as well as decision-makers to discover the tools and techniques they need to implement to process huge data sets and derive valuable insights from them in order to deliver better business decisions. The last couple of years have seen tremendous uptake in big data and how leading companies assessed and changed the analytics game. Many have propelled this trend with the introduction of data professionals or experts to their ranks, while some companies also deployed automation frameworks that have been able to create a singular data vision.Handling, processing and extracting meaningful information from the data businesses glean is a daunting task. This requires setting up a strategy for enterprise-level analytics tracking and reporting in addition to building a robust architecture with proper planning and coordination. Gathering any kind of data presents both value and risk to any enterprise. This is why a scalable and flexible enterprise analytics architecture is critical to the success of companies. An effective enterprise analytics strategy can create a comprehensive vision and end-to-end roadmap for managing and analyzing data. It can be beneficial in risk mitigation, mapping out companies’ data management architecture, identifying and eliminating redundant data, establishing responsibility and accountability, and improving data quality and more. According to MicroStrategy’s 2023 Global State of Enterprise Analytics report, around 65 percent of global enterprises have plans to boost their analytics spending in 2023. 79 percent of respondents in large enterprises reported they will invest more in 2023. Based on industry verticals, hospitality and government respondents are uncertain about their data-driven progress . 33 percent of respondents in hospitality and 31 percent in government reported that they feel their analytics programs are behind in comparison to the 17 percent overall average. Cumulatively, telecommunications, hospitality and retail industries lead all spending with 70 percent or more of enterprises in all three verticals. It is predicted that they will increase analytics and business intelligence spending in 2023. The report further reveals that only 16 percent of organizations’ analytics technology deployment is at the maturity level to include a sophisticated architecture for self-service analytics with governance, security frameworks, access to big data, and mobile and predictive technologies supported by a center of excellence for training and support. Moreover, Gartner foresees that by 2023, the majority of pre-built analytics reports will either be augmented or even replaced with automated insights. And by 2023, AI and deep learning techniques will be prevalent approaches for new applications of data science.

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How Small Businesses Look To Leverage Big Data And Data Analytics

Benefits of Big Data for Small Businesses Following are key benefits of big data for small businesses- 1. Quick Access to Information Big data makes the generated information available and accessible at all times for the businesses in real-time. Various tools have been designed for capturing user data and thus, businesses can accumulate the information in terms of customer behavior. This huge chunk of information is readily available for the businesses at their disposal and they can implement effective strategies for improving their prospects. 2. Tracking Outcomes of Decisions Businesses of any size can gain huge amounts of benefits from the data-driven analytics and this calls for the deployment of big data. Big data enable businesses to track the outcomes of their promotional strategies and giving the companies a clear understanding of what works well for them and improves their decisions to gain better results. Small businesses can tap on this information to know which of their brands are being perceived by their key customers. Based on this information, businesses can carry out accurate predictions regarding their techniques and at the same time minimize their risks. 3. Developing Better Products and Services Small businesses can use big data and analytics for determining the current requirements of their prospective customers. Big data can help in analyzing customer behavior based on their previous trends. A proper analysis of customer behavior and its associated data helps businesses to develop better products and services based on their past needs. Big data also determines the performance of certain products and services of the company and how they can be used to meet these demands. Big data now also allows the companies to test their product designs and determine flaws that may cause losses in case that product is marketed. Big data is also used for enhancing after-sales services like- maintenance, support, etc. 4. Cost-Effective Revenues How Small Businesses Use Data Analytics • One of the key applications of machine learning for small businesses is by using it for tracking their customers at various stages of the sales cycle. Small businesses have been using data analytics for determining exactly when a given segment of customers are ready to buy and when they’re going to do so. • Data analytics are also used for improving customer services. Machine learning tools are now able to analyze the conversations taking place between the sales team and customers across various channels. These can provide greater insights into some of the commonly faced issues by the customers and these can be leveraged for ensuring that customers have a great experience with a product/service/brand. • Data analytics have been providing the SMBs with detailed insights on operational aspects. Data analytics can be of great use when it comes to a detailed analysis of customer behavior. This, in turn, allows the business owners to learn the motivating factors for the consumers to buy products or services. This is of great value as the SMB owners can utilize this information for identifying the market channels to focus in the coming time and thus saving on the marketing spend and thus increasing the market revenue. Data Analytics Trends in 2023 for Small Businesses 1. Emergence of Deep Learning We have been generating huge volumes of data every day and it is estimated that the humans generate 2.5 quintillions of data. Machines have become more adept and deep learning capabilities are continuing to rise in the coming time. Often considered as a subset of machine learning, deep learning uses an artificial neural network that learns from the huge volume of data. Its working is considered to be similar to that of the human brain. This level of functionality helps the machines to solve high and complex problems with great degrees of precision. Deep learning has been helping small businesses in enhancing their decision-making capabilities and elevating the operations to the next level. Using deep learning, the chatbots are now able to respond with much more intelligence to a number of questions and ultimately creating helpful interactions with the customers. 2. Mainstreamed Machine Learning 3. Dark Data Dark data is used for defining those information assets that the enterprises collect, process or store but have failed to utilize. It is that data that holds value but gets eventually lost in the middle. Some common examples of dark data include- unused customer data, email attachments that are opened but left undeleted. It is estimated that dark data is going to constitute 93% of all data in the near future and various organizations look to formulate steps to utilize it.

Keith Angell: Accelerating Enterprise Growth With Data And Analytics Through Remarkable Leadership

In recent years, organizations are employing disruptive technologies that can help them stay ahead in the market while ensuring enhanced customer services in real-time. Out of these technologies, data analytics and cloud practices are gaining more popularity owing to their vast usability. By leveraging data analytics solutions, companies gain actionable insights for making informed decisions. Adopting cloud practices allows streaming and processing of data on a real-time basis, while reducing the data storage expenses.

A Dynamic Technology Leader

Keith Angell holds 30 years of experience in C-level and board positions at venture capital and private equity-backed technology companies. Prior to becoming Pythian’s CEO, Angell was a Pythian board member where he helped develop the “Value Creation” plan for the company. Besides Pythian, he currently serves on the boards of ManageServe Technologies, an SAP-certified managed services provider; Anexinet Corporation, an IT services provider; and Eze Castle Integration, a managed services and technology solutions provider. At Pythian, Angell’s focus is on “customers first and employees always”. He is leading the company through the next critical stage of high growth in the enterprise data, analytics, and cloud market. Angell began his career in a management development program that provided “best-in-class” management techniques. From there, he worked at consulting practices that gave him a true appreciation for myriad enterprise issues that affect several industries. When Angell entered into leading venture capital and private equity-backed high growth technology companies, he was well-prepared to leverage these insights to become a successful and respected CEO. His goal is to pass those skills on to the next generation of leaders.

Fostering Diversity: A Ladder to Success

Angell observed a lack of diversity in many of the companies he has worked with. As a result, he’s made it a priority to build teams that represent a variety of leaders, skill sets, and global perspectives in the companies he has led. This approach ensures opportunities across a broad spectrum of people which benefits more than just the individuals involved – it provides tremendous value to the organizations.

Factors Shaping Leaders of Tomorrow

Angell believes every great leader should possess a passion for continued learning and growth. This is especially important in the world of technology, which is changing more rapidly than ever before. Interpersonally, every leader must learn to listen—to customers, employees, partners, stakeholders, and even the competition. Intellectual curiosity and listening discernment are vital attributes of great leaders.

Equating Customer Needs with Innovations

Pythian is investing in two key areas: first, in its customers and their evolving needs relative to data, analytics, and the cloud; and second, in its people. The company’s technical teams possess a wealth of IT certifications and specializations, which allows them to meet the specific goals of each client by creating and delivering the most innovative solutions. The powerful combination of Pythian’s extensive expertise in data, analytics, and the cloud, combined with a commitment to keep on top of the latest technologies, makes it the perfect partner to help mid and large-size businesses transform to deliver better business outcomes faster in today’s rapidly changing digital economy.

Creating Right Cloud Analytics Solutions Leading the Change in Data Analytics Market

Pythian supports organizations every day that are struggling with unprecedented volumes of data but lack proper data governance, architecture, security, and strategy. These companies need a partner that can help them leverage the value of this data and glean valuable insights through cloud-based analytics. Angell’s vision for Pythian is to enable these organizations to harness the incredible power and value of their data so that the benefits are realized by their employees and customers, as well as on the top and bottom lines of their revenue statements.

Radiating Key Advice to Budding Talents

1) Customers – meet with customers EVERY day to understand their goals and help them achieve those outcomes. 2) Employees – develop a collaborative, consensus-building leadership style that brings people together and enables them to successfully achieve the company mission.

The Best Web Apps And Online Services: Get The Most Out Of The Cloud

Everyone seems to be moving into the cloud. With Web-based apps and online storage services that give us constant access to the most important data from all of our devices, we have more computing power at our disposal than ever before. Online productivity suites let you work with Office documents on your laptop or smartphone, and keep them perpetually available on the Web for easy access. Cloud streaming services make your entire music library available on any device you have handy, or let you tap into an unlimited supply of free tunes from a personalized online radio station. Web-based phone services allow you to call anyone in the world–with video–for next to nothing, and receive calls on any phone. You can even protect your PC with online antivirus apps.

Can You Trust the Cloud?

If you’re asking whether you can really trust cloud services with your data, we like the way you think. Regarding any online service with a healthy dose of skepticism will generally serve you well. As with most things in the tech world, cloud services make compromises between security and convenience.

If your primary concern is making sure that nobody but you ever sees your data, the cloud may not be for you. While most reputable cloud services offer strong guarantees that your data will be heavily encrypted and that no one inside the company has direct access to your files, you can never be 100 percent certain that something won’t go wrong.

At the same time, cloud services run on massive, enterprise-grade server farms with tremendous redundancy, so there’s little chance your data will be lost accidentally–the risk is far lower than that of keeping data on your own hard drives. Historically, even when cloud providers go belly up, they often keep the servers active long enough for customers to retrieve or delete their files.

Another compromise involves service reliability. If you depend on a Web-based productivity app, it had better be working when you are. A few high-profile Gmail outages have highlighted this concern in the past year, but it’s important to note that the likelihood of your PC’s broadband service going down is far greater than the likelihood that a major cloud service will suffer significant downtime.

Host Your Own Cloud Storage

Want the benefits of keeping your data available anywhere without having to put all your files on someone else’s servers? Cloud-connected network-attached storage devices can give you the best of both worlds.

For home or small-office users, we like the Buffalo CloudStor for its phenomenally simple setup. Just plug it in and point your Web browser to Buffalo’s My CloudStor site to activate it. A minute later, you have 2TB of private cloud storage at your disposal, and no one else touches your drive. The CloudStor will set you back $200 up front, but that’s less than services like SugarSync will charge you for an eighth of the storage capacity for one year, and you pay no monthly service fees. The trade-offs for the CloudStor’s privacy and low cost, however, are that your data is more vulnerable to loss in the event of a fire or other disaster, and even a simple power outage can knock the device offline.

How To Get The Most Out Of Your Podcast

Podcast on Your Blog: Your blog is another location where you should have your podcast first and foremost. You can also embed the audio very easily into a blog, login through the interface to your blog and post it, along with sending it to iTunes. Your blogs are an imperative location, because here you can not only post your blog but also let people sign up for your notifications.

This will let your visitors know when you have new podcasts up. Also, have a subscribe button on your site so people can always have the latest and greatest content available to them when it’s first live!

One other important tip to getting the most out of your podcast is summarizing. To help search engines find you, it is also so important to add important points of you podcast underneath the audio. It also should have links with in the content proving your point. Individuals tend to just add the podcast or audio with a brief title. Using text tell your audience what the audio is about, using good keywords, links and images that beef up your SEO.

Syndicate Your Content : If you have a podcast, not only must it just be on your site, but also on other sites. iTunes, for example is one place you can start to begin expanding your brand awareness, as it’s a huge search engine for content. iTunes lets you create a channel where you can place your podcasts.

When adding content to iTunes, make sure you are using the keyword research you have done in the past for your site, as it would be best to name your podcasts with keywords rich titles. You should write a synopsis and also add good keywords in this area to get the maximum benefit out of it. Another thing you can do in iTunes is submit it to podcast directories, so you make sure you get a larger audience, but putting your content in several places. There are several podcast directories you can look out to find out where else you can add you content.

Another site that is a great way place to get the most out of your podcast, is a site called Hipcast. Hipcast is a site that helps you create all sorts of content. Here you can create audio, video, podcasts and blogs. Here you can even call a number using your phone to create an audio file. There is a small fee to use Hipcast, but its ease of usability is worth the $5/month price.

Top Big Data/Data Science Job Openings In Adobe To Watch Out For This Month

Land a career in Adobe with these top big data/data science jobs.

Many businesses encountered turbulence in 2023, yet big data/data science saw substantial demand and growth.

Data science

professionals are in high demand all across the world. These job opportunities will continue to grow after 2023, with over 1.5 lakh more positions being added. This is a natural reaction to data’s importance as a resource for businesses in the digital age. We’ve compiled a list of the top 10

Big Data

/Data Science job openings in Adobe to watch out for this month.

Big Data Developer

Location:

Bangalore

Requirements:

5+ years in the design and development of large-scale data-driven systems.

Work experience with one or more big data technologies such as Apache Spark.

Work experience with one or more NoSQL storage systems such as Aerospike, HBase, Cassandra.

Contribution to open source is desirable.

Great problem solving, coding (in Java/Scala, etc.), and system design skills.

Know more

here

Data Scientist

Location:

Noida, Uttar Pradesh

Responsibilities:

Perform exploratory data analysis quickly, generate and test working hypotheses, and discover new trends and relationships.

Reports and presentations can be used to communicate results and educate others.

Know more

here

Senior Data Engineer

Location:

Bengaluru, Karnataka

Responsibilities:

Develop distributed data processing pipelines using Apache Spark. Build and maintain pipelines as needed to power critical business metrics to measure the performance of pages on the website.

Responsible for crafting, developing sophisticated data applications/pipelines on large-scale data platforms using Apache Spark, Hadoop, Python/Scala.

Know more

here

Computer Scientist – Python

Location:

Bengaluru, Karnataka

Responsibilities:

Developing Java backend services that would make use of and add value to Adobe’s own data platform.

Building the company’s tracking services in a cookie-less world.

Know more

here

Web & Data Science Analyst

Location:

Noida, Uttar Pradesh

Responsibilities:

Selecting features, building and optimizing classifiers using machine learning techniques.

Data mining using state-of-the-art methods.

Doing ad-hoc analysis and communicating results in a clear manner.

Crafting automated anomaly detection systems and constant tracking of its performance.

Know more

here

Computer Scientist

Location:

San Francisco

Responsibilities:

Build high-performance and resilient micro-services for event and data processing at scale.

Design new features and create functional specifications by working with product management and engineering team members.

Develop software solutions by understanding the company’s customer’s requirements, data flows, and integration architectures.

Know more

here

Data Scientist/Senior Product Analyst, Experimentation

Location:

San Jose

Responsibilities:

You will work with data engineers to design and automate data pipelines to scale experimentation and user analytics.

In collaboration with a multi-functional team of product management, marketing, and engineering, you will tap into the underlying data, align on metrics/methodologies and generate insights to develop valuable, highly effective programs.

Know more

here

Web Analyst & Data Science

Location:

Bangalore

Responsibilities:

Responsible for providing Analytical Insights & Intelligence support aligned towards business or project or initiative.

Drive partnership with US Web Analytics team, Go-To-Market teams, eCommerce teams, chúng tôi Product Managers team, etc., and be the Subject Matter Expert for aligned areas.

Know more

here

Adobe Analytics – Big Data Software Developer

Location:

Bucharest

Responsibilities:

Transform the business requirements into feature specifications.

Contribute to the design and implementation of new features.

Design and implement new features, APIs, unit and integration test suites.

Be involved in all the product development and delivery stages, as part of a unified engineering team.

Data Engineer

Location:

San Jose

Responsibilities:

Design, develop & tune data products, applications, and integrations on large-scale data platforms (Hadoop, Snowflake, Alteryx, SSIS, Kafka Streaming, Hana, SQL server) with an emphasis on performance, reliability, and scalability, and most of all quality.

Analyze the business needs, profile large data sets and build custom data models and applications to drive the Adobe business decision making and customers experience.

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