Technology has brought some real game-changers to the world of business, one of which being data analytics – a tool currently seen as indispensable in every business, be it a startup or an established company. It reflects business performance, provides actionable market and customer insights and helps business leaders make informed decisions.
But simply acknowledging the power of data analytics isn’t enough. Any business leader wishing to step up their digital transformation efforts can’t overlook the way data analytics is evolving.
Let’s take a look at some of the ways that data analytics is radically altering the business landscape in the year 2020.

1. Data analysis automation

It is projected that by 2020, over 40 per cent of data-based tasks will be automated, which brings about higher productivity and more extensive use of data and analytics by citizen data scientists. 
What implications does this have for companies?
First, business, especially those who develop data and analytics software platform would want to focus on simplifying data science products to allow better ease of use for citizen data scientists.
Some might wonder “Why citizen data scientists?” which leads us to the long-standing barriers between business users and data scientists. Data science teams consist of experts in analyzing and interpreting complex digital data to assist the decision-making process of business. Yet when working with business, several problems arise. To begin with, data analysis depend heavily on data scientists, yet they are hard to find nor train, so not many businesses can expect to perform data analysis whenever required. Secondly, data scientists often work with data without having proper business context, leading to the resulting analysis failing to fulfil business purposes. Not to mention a large amount of time data science projects require to deliver valuable impact to the business.
This is where citizen data scientists come in. According to Gartner, citizen data scientists are those without the expertise or technical skills that characterize data scientists, and those with the ability to “bridge the gap between mainstream self-service analytics by business users and the advanced analytics techniques of data scientists.” By focusing on simplification, data and analytics software platform vendors can help citizen data scientists carry out sophisticated analysis and create models that leverage predictive or prescriptive analytics.
Second, automation will speed up the pace at which companies work towards advanced analytics. With the growing number of citizen data scientists, companies can enjoy access to more data sources as well as a broader range of analytics capabilities of a large audience of skilled information analysts within the organization.

2. Data as a service

The Techopedia defines Data as a service as “a cloud strategy used to facilitate the accessibility of business-critical data in a well-timed, protected and affordable manner.”
The DaaS market is predicted to reach $12 billion in 2023 at a Compound Annual Growth Rate (CAGR) of 39%.
The drivers behind this impressive growth are increased adoption of big data analytics across different industry verticals and cloud-based services in enterprises as well as rising demand for real-time data analytics.
In the year 2020, up to 90% of large organizations are expected to be generating some sort of revenue from DaaS.
The DaaS approach brings enterprises lots of benefits such as the ability to move data easily from one platform to another, ease of administration, compatibility among diverse platforms and global accessibility. However, being a cloud computing technology, DaaS also come with major challenges concerning privacy, security and data governance, which suggests that DaaS providers will have to actively seek to address these concerns if they are to reach or maintain their position as a key player in this market.

3. Augmented analytics

Augmented analytics is one of the three major waves of analytics. It combines the use of machine learning and AI techniques to transform how analytics content is developed, consumed and shared.
The global augmented analytics market is expected to reap huge-scale revenues from a variety of industries in the next few years. According to Markets and Markets, the augmented analytics market is expected to grow from USD 4.8 billion in 2018 to USD 18.4 billion by 2023, at a CAGR of 30.6% during the forecast period.
The major factors driving the augmented analytics market include the growing demand for gathering crucial business insights from customer data and increasing volume of business data. Also, the field of data analytics has a wide application portfolio ranging from the transportation sector to the defence and aerospace industry. By 2020, augmented analytics will be a dominant driver of new purchases of analytics and business intelligence, as well as data science and machine learning platforms, and embedded analytics.

4. Internet of Things merged with data analytics

By 2020, there will be around 30.73 million of IoT (Internet of Things) connected devices. The growth of the Internet of Things (IoT) is having a big impact on lots of areas within many IT companies, one of which being data analytics. With more IoT sensors being connected to objects, an ever-expanding amount of data is generated. But these data can bring business value only when data analytics is involved to explore profound implications and point to possible solutions. It is expected that business will work towards more analytics solutions for IoT devices to provide not only relevant data but also transparency.
Combining IoT and data analytics will positively impact the business. For starters, the data generated by IoT comes in a huge volume and varying sets in terms of structure. Data analytics software will allow businesses to analyze data efficiently, regardless of their volume and structure. Additionally, data analytics and IoT are useful tools for business executives to gain actionable customer insights, which contributes to better satisfying customer demand and later on, drive revenues and profits. In the long run, the use of data analytics in IoT investments can also help businesses create a competitive edge over their competitors.
The growing popularity of IoT in many organizations will entail the need for data analytics, making data scientists increasingly in demand within the next few years. However, Gartner projects that through 2020, “a lack of data science specialists will inhibit 75% of organizations from achieving the full potential of IoT” and as staff with the necessary skills will be scarce or expensive, organizations will “seek ways to use them more effectively or will find alternatives to human involvement, perhaps using machine learning rather than human data analysis.”

5. In-memory computing

Over the next decade, more and more businesses will start using comprehensive in-memory computing platforms. According to a Gartner report, the In-Memory Computing (IMC) market will reach the $15 billion mark by 2021, a significant increase from $6.8 billion.
In in-memory computing (IMC), storage of data occurs in RAM across multiple computers instead of in a centralized database, resulting in fast performance and scaling of data in real-time. However, many IMC solutions have a limitation, which is the high cost of storing all data in memory. A viable solution to this problem is memory-centric architecture which supports the use of other memory and storage types including spinning disks and storage technologies such as solid-state drives (SSDs), Flash memory and 3D Xpoint. Memory-centric technologies are expected to become the key to cost-effective IMC adoption.
For large datasets, non-volatile memory (NVM) will be the favoured method for storage combined with the use of hybrid storage models. When the power goes off, NVM retains its data instead of erasing them like what volatile memory such as DRAM does, so there’s no need for software-based fault-tolerance for IMC platforms. With all its speed and scale benefits, NVM is expected to dominate among data storage models.
IMC platform vendors will support a wider range of machine learning and artificial intelligence use cases. These developments will become new capabilities incorporated into the in-memory computing platforms of many vendors. Integration between a machine learning library and an in-memory computing platform will allow machine learning model development to provide real-time support to mission-critical applications. Further integrating deep learning with IMC platforms will reduce the cost of using operational data to train artificial intelligence models, enabling companies to easily optimize for cost and performance.
The possibilities of data analytics are endless. It’s safe to say that data analytics will continue to drastically change and create significant impacts on business. Keeping on top of the latest developments in data analytics is essential to guiding your digital business transformation along the right path and achieving success in years to come.
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In the fast-paced development of technology, we cannot wait to see how well it could do for our life. In 2018, “Self-driving cars, artificially intelligent doctors and deliveries” are supposed to be the most northworthy technology trends. Technology is still growing intensely and embedded in what we are doing.

And, many people are wondering why technology can affect and lead our lives to the most successful industry revolution. Thus, 3 kinds of technology trends will be mentioned below to account for the technological innovation and human’s high living standard.

AI is defined as some kinds of features. Many businesses regard AI as a software program or a tool to deal with software problems. Besides, some people treat AI as a human and raise it responsibly because it can do and support human with life issues. And, this kind can be called “Citizen AI”. Research showed that 81% of executives did a favour of AI being a colleague and cooperator in organizations. It can do whatever people can do or do more efficiently.

Internet of thing (IoT) – what is it? According to Forbes (2014), IoT is the concept of basically connecting any device with an on and off switch to the Internet. It is all about machines, smartphones, devices or anything else you can see these days.
Everything can connect and be connected thanks to the Internet. By 2020, 200 billion devices will be connected to the internet (Intel). It shows a huge number of stuffs which can help people exchange information, communicate with each other or do housework easily. That seems to be good news to busy-working generations.

Data is becoming bigger and bigger – Pros or Cons?
Oxford English Dictionary (OED) defined that “Big Data” was data of a very large size, typically to the extent that its manipulation and management present significant logistical challenges.”
Whenever we use services or connect to social networks, we create a very huge amount of data. 3.5 million of people search on Google, 900,000 users hit Facebook, and 452,000 of those post to Twitter every second. The Berkeley researchers said that in 1999, there were about 1.5 billion gigabytes of information, and that amount had doubled in 3 years. The number of information has grown rapidly and unprecedentedly when we are living and working in 4.0 industry. Nevertheless, “Big Data” is not a challenge for scientists to find out the solutions. We can make use of it by collecting the data from social media, create the predictive model and analyze the statistics to assess and comment on how this data affect the business activities.
Read more:

• Savvycom Launches New Artificial Intelligence (AI) Lab
• What are chatbots?
• How AI And Chatbots Are Strengthening The Customer Experience?

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The industry experts have done some in-depth analysis and research on healthcare app development technology trends which are likely to have a huge impact on health IT in 2017.

Healthcare technologies, ranged from Big Data, IoT to virtual reality (VR), can provide potential opportunities to deliver high-quality patient care and streamline clinical communication – all with an eye on quality, cost and patient and physician satisfaction.

Here are seven healthcare tech trends you need to have on your radar in 2017 and beyond.

#1 Virtual Reality delivers real health benefits

Physicians have high hopes for Virtual Reality (VR) tools and VR healthcare app when VR is rapidly entering our lives and is changing the healthcare industry. Currently best healthcare mobile apps are being developed and widely used to reduce pain. They effectively help to control pain for numerous medical conditions and distract the patients from unpleasant sensation throughout the body.

• Read more: blockchain technology healthcare

Recently, experts have used VR exposure therapy to help soldiers overcome post-traumatic stress syndrome, caused by hostilities, and to conquer phobias. Cedars-Sinai Medical Center scientists have conducted research to show that playing VR games lowered acute pain levels nearly as effectively as narcotics.

Virtual Reality has also found its application in encompassing robotic surgery and clinician training. Robotic surgery is a popular use of this technology. This is where surgery is performed by means of robotic device, controlled by a human surgeon. VR has been used for educational purposes in the field of remote telesurgery in which the operation is carried out at a separate place to the patient.

#2 Healthy prospects for healthcare IoT

The Internet of Things (IoT) is blooming with numerous healthcare mobile applications ranging from remote monitoring to medical device intergration. Healthcare providers use IoT strategies to tackle pressing issues such as keeping patients safe and healthy, improving how physicians deliver care. Healthcare IoT can also boost patient engagement and satisfaction by allowing patients to interact with their care teams.

• Read more: How IoT Leads to a Better Healthcare

A myriad of IoT possibilities that can not only improve patient care but solve the cost crisis as well includes:
– Tracking health information
– Improving direct patient-physician interaction
– Minimizing response time in medical emergencies
– Monitoring patients through implementing “smart beds”

#3 Sky-high potential for the cloud computing

Cloud-based healthcare mobile app market is on the rise as hospital administrators, physicians and patients demand cost efficiency, access to information and security. As a result, healthcare mobile development companies are increasingly growing to meet the needs. They are here to help to migrate applications, storage and other infrastructure components to public and private clouds.

• Read more: Cloud computing pros and cons

The cloud has also become an important tool in healthcare industry for better collaboration, better and safe storage, information transformation for informed decisions and medical research improvement.

#4 The high cost of Ransomware

Ransomware, a type of malware, is on the rise and healthcare organizations must pay a certain amount of money. One of the biggest attacks was actually on a hospital system in the UK, where hundreds of computers stored tons of documents on patient’s information and they are all lost. And although the organization has paid the demanded fee, it is not sure that the data will be made accessible again. Thus, healthcare mobile app companies need to be careful to protect their clients from the massive Ransomware attack.

To know more about Ransomware, enjoy watch!

#5 Population health management and Big Data

• Read more: Big Data trend 2017

Everyone is talking about Big Data when it becomes more and more vital that the future of healthcare is data-driven. Big Data analytics have been used to craft a population health program:

– Medical algorithms to help diagnose, identify risks and alert clinicians to deterioration in patients sooner

– Geographic information systems (GIS) software to assess risk based on geography

– Interoperability to support communication, collaboration and ability to access comprehensive patient records

#6 Long-term advantages for long-term care

A growing number of healthcare providers are starting to see the benefits of long-term care (LTC) which refers to the help that people with chronic illnesses or various conditions over an extended period of time. Telemedicine offers a cost-effective way to provide timely services to improve the quality of care for LTC patients.

#7 The pros and cons of secure messaging

Secure messaging plays a vital role in communicating with patients on relevant health information. There is a fact that:

In addition, using secure messaging can tackle health issues, address patient questions to contribute to patient satisfactiton with care.
 
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