It’s that reporting time of the year, which means you’re most probably looking down the barrel of at least a few tedious days going line by line through data sets, trying to get a semblance of a picture of health for the powers that be. Say hello to your trusty friend Excel, that all-pervasive tool of data crunching that we all know, love and sometimes hate! And because we’re all so familiar with Excel, we’re also wise to its issues –
Delivering a Business Intelligence application which dramatically improves your company’s business performance is one of the most rewarding projects you can ever work on. At EiB we should know, having done so on over 600 successful BI projects using the Microsoft BI infrastructure.However, it is also challenging with many real world obstacles (both technical and commercial), which is why more than 50% of all BI projects fail.So, in order to help you
Welcome to 2019, a new year, with new challenges, new opportunities and a lot more new data. For some organisations the prospect of amassing another year’s worth of data is an exciting one, given both the valuable insights and intelligence which this data can provide for improving internal efficiency, selling more products and services, marketing more strategically, building better products, and strengthening customer relationships and loyalty. But the stark reality for a lot of businesses, is that the majority of their data
In the field of data science, things can become very confusing, especially with so many buzzwords and terms flying around, it’s very easy to waste a lot of time just trying to figure out how everything connects together, let alone applying them to the day-to-day running of your business. So, to clarify the relationships among the fields of business and data analytics, data science, business intelligence, machine learning, and artificial intelligence, Iliya Valchanov, founder of 365 Data Science, an educational
It’s crazy to think, but 90 percent of the World’s data has been generated in the last two years alone. And, with the current rate of 2.5 quintillion bytes of data being produced each day, it is unsurprising that the issue of data quality has become a prevalent one which businesses can no longer ignore. This has subsequently led to an unprecedented increase in demand for data quality tools with ever-evolving capabilities. In the early days of data warehousing,
The GDPR came into effect in May of 2018, covering the United Kingdom and Europe with the world’s most stringent data protection regulation. The enforcement of GDPR comes in response to a series of high profile misuses of private data by global companies. Consumers need more autonomy over the huge data sets of their private information that businesses store and manage worldwide, and the GDPR is a step forward for consumer rights. Control is your greatest asset Data leaks are rife in
Data quality is essential to leveraging more value from your business’ data assets. Data analysts, managers and board members alike, must know and understand the quality of the data they are using to make decisions and to set direction for their organisations if they are to make the best strategic decisions. Today, data is created and collected by every type of device used in businesses and homes. Data analytics has become a common term. Expectations for quality data continue to grow at an
“I was once asked by a CIO to help him present to his board, on why they wanted to become data-driven. After 5 minutes of my planned 10 minute presentation (that lasted about 30 minutes) a board member and I concluded that based on what we had heard outside that meeting, they didn’t want to become data driven– they wanted to become customer-driven.” To be data-driven is a dangerous catch phrase. Data, or even technology, for its own sake without a
Andy Bottrill, Regional VP at leading financial close solution ‘BlackLine’, discusses the collective role which people and technology have to play, in the ever-changing finance function of the future. Finance and accounting is an industry of traditional standards; calculators, spreadsheets and manual input are all part of peoples’ daily routines. However, whilst these tools have supported many people throughout their accounting careers, a lot of processes are no longer fit for the digital age, and businesses must innovate to remain competitive. The biggest struggle
In the first instalment of our Expert Opinion series, data and analytics expert Rudraksh Bhawalkar explains the fundamental benefits of managing your data effectively, in order to achieve a bi-modal framework for your business. ‘Water, water, everywhere, but not a drop to drink’. These, the modernised words of Samuel Taylor Coleridge in his poem The Rime of the Ancient Mariner, were penned in the late 1700s. Over two centuries later, we’re facing a similar problem. Like sailors looking out over a
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