5 myths about data quality that could derail your analytics project
Data quality is crucial to any successful Business Intelligence project. Poor data leads to poor reporting and decisions making capabilities. Data quality is a common issue in Business Intelligence as most of can identify and acknowledge. But, how do we define data quality? Do you know some of the major characteristics that make up data […]
3 questions you need to ask before implementing a data lake
What does it take to successfully implement a data lake? – Well, the answer is having a clear idea of what you aim for or why you need a specific set of data from data storage. If you’re are thinking whether or whether not to implement a data lake, here are the key questions you […]
A complete guide on how to implement AI in your organization
Many C-level or IT decision-makers believe that the sheer volume of data sets the foundation of AI (Artificial Intelligence). Around 90% of enterprises incorporate AI because it’s trendy. Many lack the required skillset and tools to use AI and mitigate complexities of the huge volume of data they have, unaware of the fact that AI […]
Applying artificial intelligence to contract management
Contracts are difficult (or rather impossible) to sort. They are everywhere, distributed across many repositories, scattered across multiple locations. The inaccessibility of contracts makes the task of managing them cumbersome, leading to a risk of losing out important business opportunities that are buried in these resources. The manual handling of these contracts becomes even more […]
Cloud analytics with Compute Optimized Gen2 tier of Azure SQL Data Warehouse
Data has the power to transform a business in and out. In order to remain relevant and gain competitive advantage, an enterprise needs to have the ability to transform data into breakthrough insights. Data is growing exponentially. To control the flow of this huge chunk of data and to convert this data into meaningful insights, […]
The difference between artificial intelligence, machine learning, and deep learning
The tech world today is talking about three important terminologies: Artificial Intelligence, Machine Learning and Deep Learning. These names often create confusions. Many think the three terms are one and the same when there are significant differences between them. They are often used interchangeably but that isn’t the case. So, what exactly is the distinction between […]
15 reasons why you should opt for a cloud data warehouse
Data holds the power to transform the business landscape, helping you to discover business insights and aids in decision-making. Yet, enterprise systems today generate large amounts of data, which is certainly not a piece of cake to manage. This new type of data comes with high volume, variety, and velocity, and is popularly known as […]
Understanding the concept of self-service BI in the cloud
Do you use self-service BI? No? Think again… How often have you selected few parameters, set some filters and got a report of your banking transactions from the internet banking facility of your bank? Or as a web marketer, haven’t you configured custom reports to get insights into your website visitors and their behavior? These […]
Building enterprise-class machine learning apps using Microsoft Azure
In our earlier post, we introduced the concept of Machine learning (ML) and also some types as well as applications in real world. In the second part of this series, lets peek into how to build Machine learning apps using Microsoft Azure. What is Azure Machine Learning Studio? Microsoft breaks down the use of Machine Learning (ML) […]
An ultimate, beginner’s introduction to machine learning
For many people, their first experience and introduction to Machine Learning was the ‘Recommendations’ feature on Amazon. The system was able to predict future choices to a consumer based on what previous choices they had made. Many people conflate the concepts of Artificial Intelligence and Machine Learning, whereas, AI is the ability of a machine […]
ABC of cloud data warehousing terms – A glossary
Data Warehouse, also known as enterprise data warehouse, is considered as one of the core elements of BI (Business Intelligence). Data warehouse is a system or means for reporting and data analysis and also supports the decision-making process. The process of planning, constructing, and maintaining a data warehouse system is called data warehousing. Now, to have an […]
A beginner’s guide to Microsoft’s Azure Data Warehouse
Your business data is extremely POWERFUL, only if you are able to use it properly– to generate valuable and actionable insights. However, it is also imperative to organize and analyze it well. A recent report says, less than 0.5% of the business data is actually stored and analyzed in a right way. As an impact, enterprises lose over $600 billion […]
Top 10 factors to consider while choosing a self-service BI solution
According to the report released by Gartner, the global market of Business Intelligence (BI) and analytics software will expand to reach $18.3 billion by the end of 2017 and shall continue to grow till 2020 to reach $22.8 billion. Business users increasingly demand the access to important business data in real time. Business Intelligence (BI) is […]
5 reasons why you need a Power BI implementation partner
If you are still clouded on the idea of whether or whether not to have a Power BI implementation partner, you must read this blog. The answer is yes! Yes, you should have an implementation partner for Power BI. Power BI is a marvelous resource to any business. It is an asset that can bring […]
What is the future of the cloud data warehouse?
The emergence of the data warehouse transformed the business information management landscape which was previously restricted to manual methods, complex & unwieldy spreadsheets and was generally inaccessible to the general users. Its exponential and rapid growth has made companies realizes the value of the data they generate. This gave rise to the environment of cloud […]
A deep dive into the Microsoft Azure Data Lake and Data Lake Analytics
Today, large enterprise organizations are struggling with an ocean of data. From online shopping analytics to the Internet of Things (IoT) sensor data, the modern IT team is inundated with raw or semi-raw data captured from every side of the organization. These entities have begun dumping this raw data into a holding tank called the […]
Top 3 things to look for in your contract management implementation partner
Contracts are the foundation of commerce. To better handle contracts by standardizing and automating the contracting process, ensuring greater control, better supply chain agility and responsiveness and improved execution speed, today’s enterprises are hunting high and low for an easy yet advanced contract management solution. Why do you need a contract management implementation partner? While […]
6 things to check before contract management software implementation
For every enterprise, managing contracts is a critical and challenging task. Even a simple question around contract expiry dates or the location of the latest version of a contract can slow down a critical transaction or process. To maximize workflow efficiency, many organizations have now started using digital documents or Document Management System (DMS). However, […]
8 reasons why a cloud data warehouse outshines an on-premise data warehouse
Traditional Data warehousing has hit a roadblock. Most organizations have ancient information management systems typically built in an age where inflexible systems working within solos were sufficient to address data needs of that era- limited data sources, infrequent changes, lesser volume of transactions and low competition. But today, the same systems have been rendered ineffective […]
6 business intelligence challenges that every organization faces
In today’s technology world, data generated on a day to day basis from different sources is enormous. This data can have valuable information that can help executives to take effective decisions. Organizations use Business Intelligence (BI) to cater to this but only a proper utilization of business intelligence can help organizations to improve the productivity and ultimately […]
4 signs that your business needs a business intelligence solution
In today’s electronically interconnected world, the amount of data generated by business operations can have an inundating effect on enterprise systems. In this age of connectivity, businesses are flooded by a mountain of data which floods enterprise systems. To tackle this deluge, a number of big data technologies have emerged and businesses have deployed a […]
The top 3 ways big data analytics is transforming the pharma industry
Advances in the arena of pharmaceutical development have suffered from declining success rates for some time now, due to a number of critical factors such as decreased R&D, as well as multiple challenges to growth and profitability, and the increasing cost of regulatory compliance. But there are a number of bright spots on the horizon, […]
Big data is taking the retail industry to a new, more informed space
Speculation around the future of retail often tends to drift into visions of drones flying through the skies and delivering packages within minutes of a consumer clicking a few buttons on a site. In this projection, the bricks and mortar retail stores are old fashioned, out of date and a relic of the past. Yet […]
3 ways self-service BI will help your organization
Today, multiple sources are generating loads of data than before, but many still struggle with how to turn this data into actionable business insights. In fact, business leaders report they only use 30 percent of the data that exists within their companies. Historically, users were able to analyse their data using tools such as Microsoft […]
Are you unlocking the hidden value of your big data?
More and more organizations are coming to understand that there are valuable insights hidden in the data which they generate during the course of their work that could transform their business operations. The science of data analysis is growing fast around the world, and it’s becoming more and more predictive in the way that it’s […]
How can data analytics empower B2B sales in the pharma industry?
Earlier, pharmaceutical companies would invest in expensive, broad-scale product promotion via lengthy doctor visits. A recent survey suggests that 87% intend to increase their use of analytics to target spending and drive improved ROI. Some of that money is likely to go into monitoring doctors’ therapeutic tastes, geographic trends, peak prescription rates – anything that […]
How to run a successful big data Proof of Concept (PoC)
For all kinds of organizations, whether large multi-national enterprises or small businesses, developing a big data strategy is a difficult and time-consuming exercise. In fact, big data projects can take up to 18 months to finish. While a few within an organization may be very well aware of what Big Data is and what the possibilities of […]
How CloudMoyo helped a retail store chain use big data to predict revenues
Retail organizations generate massive amounts of data. Strangely enough, not many retail players are putting all this big data to its use. However, a Retail Store Chain did that and with their big data strategy, managed to take a refreshing approach in exploiting that data and deriving value from it. Never have we seen such […]
Sources of big data: Where does it come from?
Over the last five years, there has been a growing understanding of the role that Big Data can play in delivering priceless insights to an organization, revealing strengths and weaknesses and empowering companies to improve their practices. Big data has no agenda, is non-judgmental and non-partisan – it simply reveals a snapshot of activity. Yet […]
Is Big Data as a Service the hottest trend in cloud right now?
Once in a while, a technology comes along that is so disruptive and so unique that it often takes a few years before applications to make the most effective use of that technology are sufficiently developed. So it is with the advent of cloud computing and its application as a service to analyze big data. […]
Optimizing health insurance claims processing through data analytics
Traditionally, the claims processing center is an insurance payer’s largest administrative expense. Often, it’s also the most procedurally and technologically encumbered functional area. With economic and regulatory pressures escalating, insurers need solutions that drive the time and cost out of claims processing. Leading payers know they cannot wait for years-long IT projects to deliver the […]
Real-World Evidence (RWE) – Enhanced insights for pharma, payers, and patients
Advances in data collection, sensor technology, cloud-based data management and analytics capabilities have resulted in huge volume of unstructured data have helped provide control to patients/consumers and healthcare professionals in managing their health conditions. Nano technology, ingestible pills, wearables and integration of gaming into patient support programs are all currently being explored with the intent […]
Compliant healthcare in the cloud – Leveraging the Microsoft Azure platform
HIPAA-compliant cloud storage implements the guidelines of the U.S. Health Insurance Portability and Accountability Act (HIPAA). These guidelines ensure the protected health information (PHI) in a cloud is portable, available to healthcare practitioners, error-free, and has access control policies and standards in place. Regulatory Environment Overview Healthcare & Life sciences companies are quickly becoming confronted […]
Microsoft Azure – A review of the cloud platform
“Infrastructure is a big selling point for Amazon Web Services, but Microsoft is an important competitor, especially for clients who are already using the Microsoft stack. They can connect their domains seamlessly in these cases. Hybrid solutions work very well with the Microsoft Azure stack.” says Venu Machavaram, Director of Cloud Architecture at CloudMoyo in […]
