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Those of us who don’t deal in analytics on a daily basis don’t really know about the importance of data visualization. Those of us who do, can’t really get enough of it!

We perform analytics to reach actionable insights to fuel our business decisions, making it extremely critical. But how exactly do you get to that insight? With data visualization. Data visualization allows you to present the data and insights generated by the analytics engine in a manner in which it is comprehensible to the end user.

An end user could be anyone. The CEO, operations manager or board of directors. This underlines the importance of data visualization. It is used by almost every decision maker within the organization to arrive at their decisions, through insights.

Data visualization has moved beyond the realm of pie charts and bar graphs. Visualization elements now include sophisticated heat maps and color coded elements. Another important factor is that data visualization makes the data more interactive for the end user, allowing them to delve deep down into the data sets, without losing their way and emerge with actionable information.

Essentially, data visualization helps in bringing out the key points arrived through analytics. It helps present the numbers and figures in a manner in which it makes sense to the end user. Data visualization enables decision makers and analysts to digest massive amounts of data and help spot critical trends and patterns in the business landscape.

Without proper data visualization, it would be next to impossible to derive actionable intelligence from any data. So, here’s why data visualization is considered the backbone of analytics:

  1.  Digest information quickly – Business landscape is continuously evolving, with data playing a key role in that evolution. How fast the information or actionable insights get to the end user depend on data visualization. The ideal data visualization helps illuminate key points in any data sets and fuels decisions.
  2. Zero-in on Patterns and relationships – When presented in the right manner, even huge amounts of data starts making sense, and data visualization plays a key role in that. This allows decision makers to identify relationships and patterns within the business, among competitors and the general business landscape. This helps in market predictions and fuels business critical strategies. This also helps businesses focus on areas that really matter and contribute to the growth of the company.
  3. Know the trends – Data visualization helps present a eagle-eye view of data pertaining to the business and its operating landscape. This helps decision makers pinpoint trends, be it by analysing past data or predicting some future. Data visualization helps in identifying emerging trends, that in turn helps businesses in taking the right decision at the right time to ensure future growth and get a competitive edge over the competition.
  4. Become a storyteller – The best part of data visualization is that it helps analysts tell a story with their data. Once the data points that need to be presented are ready, data visualizations helps analysts communicate the insights using visual storytelling. The end user can interact with the data at a deeper level and comprehend things much more easier than reading through simple strings of data.

Thinklayer offers state-of-the-art data visualization services that complement your existing analytics engines and help fuel business decision with actionable insights. Know more.

The post Data Visualization – The Backbone of Analytics appeared first on Thinklayer.

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Thinklayer by Natasha Mathur - 1y ago

Big data is powering business decisions across corporate boardrooms throughout the world. Every new product, feature or business these days is built on a foundation of big data-driven actionable insights.

Earlier, the use of Big Data was limited to Fortune 500 giants but now, with the rise of affordable big data analytics tools and the rise of cost-effective data sources, Big Data is accessible to Small and Medium sized Enterprises (SMEs).

But the rate at which SMEs are adopting Big Data is critically low. To survive the competition, to make more informed decisions and to grow, SMEs need to harness the possibilities presented by Big Data.

SMEs can use existing and future Big Data capabilities to zero-in on current trends that are shaping their markets for more informed decisions, analyze their data against their competitor’s to get an edge over the competition and identity future market trends and prepare their strategies accordingly. This and so much more is now possible with Big Data.

Big Data can provide the same opportunities and avenues of growth and expansion to SMEs, like it does to big corporates. In fact, SMEs have an advantage that big corporations don’t have. SME’s operate on the more flexible frame than most of the Fortune 500. This means they are in a better position than big corporates to implement business decisions gained from the actionable insights made available by Big Data.

So let’s go over some of the ways in which SMEs can benefit from Big Data:

1. Know Customers Better – Big Data allows SMEs to know their customers and their audience better. Using Big Data, SMEs can analyze why customers buy, how they buy, when they buy and what do they prefer. But this is not all. SMEs can get in-depth analytics data on their customers’ purchase history and preferences, and plan their product strategies accordingly. Analyzing social media data could also give SMEs insight into how their customers are connected with their brand. The possibilities are endless.

2. Zero-in On Trends – Using Big Data analytics, SMEs can study their own data with the market data and the data on their competition, and identify patterns and trends. This will give them a greater insight into the market landscape and identity and implement future growth strategies.

3. Tweak Operations – Big Data allows SMEs to study their own company in depth, against current and historical performance. This will allow them to zero in on loops and gaps that are having an adverse effect on business growth and tweak their operations accordingly. This will go a long way in improving the operational performance of the company and setting it on the path of growth.

4. Study Competition – Sometimes, the greatest business insights come from studying the competition, to find out what they are doing and how to perfect it for one’s own success. With the easy availability of data, SMEs can study their competition in depth and identify threats or strategies that might give them an over the competition.

Thinklayer offers state-of-the-art Big Data analytics services to Fortune 500s and SMEs, helping them to reach insights that drive business growth. Know more here.

The post Small Business and Big Data appeared first on Thinklayer.

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Decisions backed with data are driving businesses forward in this digital age. Good data translates into actionable insights that decision makers use to evaluate and execute strategies. But how to get from A to B?

Data Visualization is the art of representing key data points in simple-to-understand format. Ease of data discovery and insights are key when it comes to visualization. Better the visualization, easier it will be for decision makers and stakeholders to arrive at business-critical insights that can power their strategic decisions.

But the term data visualization is being thrown around so much these days that it has an aura of confusion around it. A visualization can take the form of a bar graph, simple pie chart or a map. But these elements are hopelessly out of date and have limited scope of representing all the key data points due to limits in design.

Data visualization these days is about creating representational elements that allow the viewer to interact with the data, to go deeper into the data without loosing the core objective. Story-based data visualizations unfold in real-time to allow decision makers to get the insight that they need.

Therefore, the importance of data visualization can’t be stressed enough. Be it a small enterprise looking at last quarter’s sales data or a large conglomerate going through multi-geo product launch data, data visualization is relevant for everyone.

Here are some key benefits your business can derive from data visualization:

  1. Bridge the gap between data and insights – Data visualization makes data discovery easier. It effectively bridges the gap between data and the insights you derive from it. The brain comprehends visual representation better than anything else. Data visualizations helps you understand your data better and leads to actionable insights that power strategies.
  2. Discover hidden patterns – The storytelling nature of data visualization helps you zero-in on previously undiscovered operational patterns that could impact business decisions. Data visualization puts key data points into perspective, like comparing historical data with the present. This way, not only new patterns emerge but also important relationships get highlighted.
  3. Get better at trend spotting – Discovering historical, new and emerging trends is one of the key benefits of data visualization. Trends can be unearthed through data visualization depending on the type of visual representation you use. For example, an interactive heat map can allow you to discover opportunities for strategic expansions in other locations.
  4. Talk to the data – The real-time nature of most data visualization tools allows decision makers to interact with the data, allowing them to sift through tonnes of data in mere seconds to arrive at the insight they need. The on-the-go customization functionalities offered by most data dashboards allow flexibility when you interact with the data. Drill down features, which are a core component of a dashboard, allow you get deep inside the data and emerge with actionable insights.
  5. Drive business decisions – Most data analytics tools offer in-built data visualization which is somehow limited in its scope. Custom built data dashboards are more flexible and made for your specific business needs, helping you drive business decisions and growth with the right insights.

Thinklayer offers industry-leading data visualization solutions for clients across the business spectrum. Click here to learn more:

The post How Data Visualization Can Help Your Business appeared first on Thinklayer.

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Data analytics continues to evolve at a staggering rate, what with the arrival of Artificial Intelligence and Machine Learning in the picture. As the data analytics market evolves, visualization of data has become key.

Taking into perspective the amount of data generated and analyzed, it is imperative that the data be visualized in a manner in which data discovery becomes simple and decision makers are able to make sense out of it. This is where data visualization tools come in.

Data visualization tools take the raw data generated by big data and analytics data engines and present it in a numerical and graphical format, housed in dedicated, custom-made dashboards. Each dashboard can be fine-tuned on the basis of data and intelligence needs and industry-defined or role-specific KPIs.

Interactive data visualization tools are big on ease-of-use, offering intuitive navigation, drag-and-drop options and simple data structuring options. The ideal visualization tools is also big on connectivity, being connected to all the relevant data sources so that the user doesn’t run dry in the middle of analysis. Last but not the least, a data visualization tool should be flexible enough to adjust to your business domain. Essentially, it should have the capability to create custom dashboard based on industry-specific KPIs.

Here is a list of top 5 tools that fit all the above criterias and are winning at big data and analytics data visualization.

  1. QlikView: QlikView is a guided analytics and dashboarding solution that has been steadily revolutionizing the data discovery and visualization landscape since its launch. QlikView is an insight-driven tool that allows you to create flexible guided analytics applications. When it comes to usability, QlikView scores big, allowing you to create custom application using its own script. Data is beautifully represented and it is easy to integrate QlikView with existing business applications using dedicated APIs. QlikView gives you complete control of your data, allowing top-down control access, data privacy & security and data management.
  1. Tableau: Tableau is a world leader in data visualization. The best part about Tableau is that you don’t need any coding experience to find your way around the software. Tableau is available in desktop, mobile and cloud versions, with the basic version being freely available at most academic institutions. Simple, interactive dashboard allow you to zero-in on actionable insights. Data connectivity is aplenty as Tableau offers support for everything from big data platforms and SQL database to cloud-based apps like Google Analytics and Salesforce. Its exceptional drag and drop features enable deep data analysis and visualization, leading to actionable insights on-the-go. As far as visual representation goes, Tableau covers all the bases. One feature that stands out is its mapping tool, which allows you to represent your data on maps of more than 50 countries on the basis of postal codes.
  1. Microsoft Power BI: Power BI is Microsoft’s answer to data visualization tools that have flooded the market. Microsoft Power BI bills itself as a business analytics tool designed to deliver insights to your organization. But it is so much more than that. Biggest advantage you would have with Microsoft Power BI tool is that its data connectivity options. On this tool, you can source data from a multitude of sources including all of Microsoft’s enterprise offerings, Oracle, Salesforce, Google Analytics, MySQL, Adobe Analytics, GitHub, MailChimp, the list is endless! It is not too far behind when it comes to data visualizations. You can create custom dashboards with a single click and convert raw data into actionable reports that can be shared across the organization. Data management, privacy and data security features can in-built Microsoft Power BI and it scores high on compliance.
  1. ClearStory: ClearStory offers no nonsense data visualization solutions. The tool offers none of the gimmicky features but all the analytical and visualization capabilities you can get. ClearStory’s solution is highly scalable and flexible, offering targeted data visualizations that offer quick actionable insights. The visualizations offered by ClearStory’s platform takes into account the data’s size, source, shape and semantics. Every feature is tied to the central aim of aiding in data discovery, exploration and interpretation.
  1. Dundas BI: Dundas BI by Dundas Data Visualization is a browser-based business data analytics and visualization tool that is taking the market by storm. The tool allows you to create integrated dashboards, perform complex data analytics and also offers best-in-class reporting tools. Offering cutting-edge data visualization tools, Dundas BI allows you to create interactive dashboards using industry-specific KPIs. Users have often cited the tool’s ability to drill-down to the required data and generate insight-oriented visualization.

Thinklayer offers data visualization solutions designed to help you track key metrics and KPI’s and obtain actionable insights through custom dashboards. Learn more about our visualization services here. Thinklayer Visualization Services

The post Top 5 Tools That Are Winning At Data Visualisation appeared first on Thinklayer.

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Data is the new oil. This is the new jagron that companies are following. Back in 2015, the amount of data generated was pegged at 5.6 Zettabyte. Let that sink in. Now imagine the deluge of data that will be generated in 2017. For decision makers, this poses a statistical nightmare as they need to interpret data in real-time to gain and implement actionable insights.

This is where data visualization comes in. Data visualization tools make data discovery easier, making sure that business-critical information doesn’t slip through the cracks. Based on custom or industry-defined KPIs, managers can develop custom dashboards that interpret and present data relevant to business, in real-time.

The importance of data visualization can’t be stressed enough. So here are 5 reasons why you should invest in data visualizations right now, if you are not doing it already.

  1. Key Business Trends can impact product or service pipeline
    Data visualization brings out hidden facets in your data sets to reveal relevant past or future business trends that are critical to your decision making process. Relevant insights into customer behaviour or market landscape can allow you to tweak your service or product pipeline to generate a measurable impact. Not only this, data visualization could open up new business or product avenues by bringing out the relevant information that might have escaped you in the past.
  2. New ways to discover data
    Data visualization tools offer you new formats or techniques with which you can visualize and discover the information you need. Data visualization in the form of heat maps, fever charts or other forms of graphical visualization can bring out hidden data points that might have been absent in previous representations, giving instant actionable information to decision makers. Data discovery is key when it comes to analytics and data visualizations facilitates that better than simple reports.
  3. Identiy business patterns
    Spotting critical business patterns or relationships is key when it comes to decision making. Data visualization enables you to have a 360 view of business and operational data to help you spot patterns or relationships that are affecting your business processes. For example, dipping customer satisfaction could be tied to rising exit rate of customer care executives. By viewing this data, a decision maker could implement strategies to stem the exit rate and hire more executives to service customers.
  4. Direct Interaction
    With data visualization, your data doesn’t hide behind 1D charts and reports, but is out there on the dashboard for you to discover, digest and gain actionable insights that can be pivotal in decision making. Data visualization allows a direct, one-on-one interaction with the data, tapping in multiple resources and working around set parameters to represent data in the most easy-to-understand manner.
  5. Make decisions faster
    The real-time nature of data visualization allows you to discover valuable insights almost instantly, making decision making a much faster process. Key business opportunities are lost if the right information is not available in the right time and data visualization plays a major role in this. Data points like customer sentiment, sales volume of a particular product, performance of competitor’s products can be viewed instantly and acted upon swiftly.
  6. Run What-If Analysis
    The key essence of data visualization is that it gives you future prespective. You can run various What-If analysis on dashboards and based on current data you can see the various cases that can be possible.

Thinklayer offers tailor made visualization services based on your organization sector which decides the key KPI’s essential for your organization. Learn more about our visualization services here.

The post 5 Reasons Why You Should Invest in Data Visualisation appeared first on Thinklayer.

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