Blog tag

ANALYTICS

    Retail Analytics-Why it is important?

    Why it is important for retail inventory optimization and more The competition in retail is increasing by the day. No matter which industry you’re in or what products you’re offering, the key to achieving retail success is to become more data-centric. Be it marketing, retail stock management or retail inventory...

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    Unified Data Platform & Amazon personalize

    user data platform unifies data from disparate systems to one single repository, which can then provide great value to different teams/functions. The data can broadly originate in transactional systems, customer relationship management systems, customer interaction on the online/offline channels and third-party systems. A UDP not only brings all of this together but correlates and references data from all these systems, hence providing a Single Customer View which records all the user touch points

    It is beyond doubt that Personalization adds real value to the customer engagement, in fact,around 30% page views on Amazon are from recommendations. But the question then is, why doesn’t everyone implement it and more importantly, why is it so hard to achieve good results. The problem is multi-faceted and...

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    How Big Data is changing the Healthcare Industry?

    According to Deloitte.com, “Global health care expenditures are expected to continue to rise as spending is projected to increase at an annual rate of 5.4 percent between 2017-2022, from USD $7.724 trillion to USD $10.059 trillion.” The growth of the healthcare industry will be driven by a myriad of factors...

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    Why should you use Python for Big Data?

    While working on a big data project, the data scientists and application developers have the option to choose from a myriad of programming languages - Python, Java, R, SQL, Julia, Scala, C and MATLAB. But the latest usage statistics posted on multiple websites depict that a large percentage of application...

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    What BI Actually Means For Your Business

    Source: Appoptics.com An enormous quantity of electronic data is generated on a daily basis in various forms. The need to make sense of this volume of information has been especially important for Business Intelligence (BI) experts. BI is an old business concept and has been in existence in some shape...

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    What is Big Data Analytics?

    Most enterprises nowadays collect large and varied datasets – Big Data – from diverse sources. But no enterprise can leverage big data fully without analyzing the structured and unstructured data accurately and draw conclusions about the data timely. The processing and analysis of big data is essential for making informed...

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    ELK STACK: A Perfect Guide for Log Analysis

    Before we get started with what exactly Elasticsearch, logstash, and Kibana does, we need to understand first what exactly the use of log is, how does it work to get meaningful insights out of it and last but not the least how it can improve an organization’s efficiency. What is...

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    Top 5 Challenges in Big Data & Analytics

    The big data tools enable businesses to collect real-time data from both external and internal sources. They can further collect large volumes of structured and unstructured data from each source. The data collected from various sources will differ in formats and quantity. The businesses have to set up scalable data warehouses to store the incoming data in a reliable and secure way. At the same time, they need to invest in robust big data solutions to integrate the structured and unstructured data by eliminating disparities and inconsistencies

    As large volumes of raw and complex data, Big data enables programmers to take better decisions and optimize business processes by understanding customer behavior, latest trends, and changing patterns. An enterprise can collect, store, and analyze these large datasets in a number of ways. An enterprise can even use robust...

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    Deep Diving in the World of Data Warehousing - Continued..

    In our last blog, we tried to understand terminology around data warehouse. But data warehouse is only a central storage system, to build a complete analytical solution there are other components needed which we will be discussing in a while below. ETL Like we said earlier, the main hindrance to...

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    Don’t Let the Redis HyperLogLog Make You Hyper!

    What is HyperLogLog? “How Many Distinct” is the question that is always asked in the current era of ‘Data’ wherein a count of unique entities is required in a fast and efficient way, trading off some accuracy in the result. Enters HyperLogLog which is a probabilistic cardinality estimation algorithm that...

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    In Data We Trust: Power BI Capabilities

    The goal is to turn data into information, and information into insight From fetching data and numbers to analyzing information it contains. Say hello to Power BI capabilities. Power BI offers basic data wrangling capabilities, as it lets you create interactive visualizations, reports, and dashboards, with a few clicks or...

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    Business Intelligence in Consumer Goods

    With a huge boom in the e-commerce industry, the customer is well-informed and has infinite options available under his thumb. Although, Aggregator apps help in increasing business visibility but also add to the cut-throat competition and this leaves the 'Consumer Goods Providers' to rely on consumer’s tendency to ‘pull’ products....

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    Predicting the Future, Using Real-Time Big Data Analytics

    In our previous blog post, we looked at 4 ways that real-time, big data analytics can give your business a competitive advantage. One of them was that you could use real-time Big Data Analytics to make dynamic changes based on user behavior. This brings us to the realm of Predictive...

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    How real-time, big data analytics can be a competitive advantage

    Real-time, big data analytics, based on cloud. What’s that? It’s certainly not a mishmash of the most trending hashtags on Twitter! There’s more to it. Picture this. You’ve added a shiny new feature to your product and want to see if the shower the same amount of love that they...

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    Operational Intelligence – On top of the Business Intelligence

    The explosion big data has created in recent past is phenomenal. The entire business environment has been flooded with data volumes and the diversity of new data sources. Yet, many organizations still struggle with the analytic opportunities big data provides. Reason being they are still focused on assembling insights from...

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    Spark Vs Flink – Which of the two will win

    Businesses today need to pick up the pace of changing market conditions, wherein the data and information are being processed at rocket speed. Since processing the big volumes of data is not the only thing that can suffice, it is also necessary to get the results faster. This has increased...

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    Doing Analytics & Being Analytical – Find the difference

    The moments of rest, a runner takes between the sprints, denotes the downtime that he utilizes to prepare for his next step. To rest, catch the breath and rethink the strategy and approach towards the competition. Similarly, while organizations and individuals get distressed when there is a slowdown, this is...

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    Effective data governance in the middle of security concerns?

    There was a time when organizations small and Big, were full of notions that more data means more value. Businesses wanted more information about their customers, their products and their markets. They wanted this information primarily to be able to integrate everything to make data-driven strategic decisions. Today, that notion...

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    How insurance companies can leverage actionable insights

    After a decade of strong growth, the insurance industry is now grappling with slow growth, rising costs, deterioration distribution structure and stalled reforms. To top it all, most of the Insurance companies are having a High Expense Ratio, Loss ratio, the insurance margin has gone down and the minimum capital...

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    Decoding the Use Cases of AWS Kinesis Streams

    Amazon Kinesis Streams a premium service offered by AWS under Amazon Kinesis Services. Other services include Amazon Kinesis Firehose and Amazon Kinesis Analytics. Amazon Kinesis enables clients to build customized applications which processor analyzes streaming data for specialized needs. You can easily add various types of data such as clickstreams,...

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    Analyzing Big Data to Make Small Companies Big

    Unlike, the notion prevailing, Big Data isn’t just for big businesses with bigger budgets. Small businesses, these days, too can reap the benefits of the gigantic amounts of online and offline information to make wise, data-driven decisions to grow their businesses. Essentially, big data is all about opportunity – the...

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    Analytics to Better Understand Your Consumer

    According to a recent study, more than 78% of the companies, globally make data-driven decisions. The majority of the analytics used is for Customer retention and acquisition (around 69%), thus making it a major field of study. Giving a better consumer experience by engaging with the audience on all levels...

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