diff --git a/inference-engine/include/ie_data.h b/inference-engine/include/ie_data.h
index f83e0e77468..1b706872706 100644
--- a/inference-engine/include/ie_data.h
+++ b/inference-engine/include/ie_data.h
@@ -62,11 +62,6 @@ public:
      */
     Data & operator = (const Data& data);
 
-    /**
-     * @brief A virtual destructor
-     */
-    virtual ~Data() = default;
-
     /**
      * @brief Checks if the current node is resolved
      *
diff --git a/inference-engine/src/inference_engine/cnn_network_ngraph_impl.cpp b/inference-engine/src/inference_engine/cnn_network_ngraph_impl.cpp
index 7b1a6b52bb3..8a5edef782a 100644
--- a/inference-engine/src/inference_engine/cnn_network_ngraph_impl.cpp
+++ b/inference-engine/src/inference_engine/cnn_network_ngraph_impl.cpp
@@ -101,7 +101,7 @@ void CNNNetworkNGraphImpl::createDataForResult(const ::ngraph::Output<::ngraph::
     } else {
         const auto precision = details::convertPrecision(output.get_element_type());
         const auto layout = TensorDesc::getLayoutByDims(dims);
-        ptr.reset(new NGraphData(this, outName, {precision, dims, layout}));
+        ptr.reset(new Data(outName, {precision, dims, layout}));
     }
 }
 
@@ -146,15 +146,6 @@ CNNNetworkNGraphImpl::CNNNetworkNGraphImpl(const std::shared_ptr<Function>& nGra
     }
 }
 
-CNNNetworkNGraphImpl::~CNNNetworkNGraphImpl() {
-    for (auto& data : _data) {
-        if (!data.second) continue;
-        if (auto nData = std::dynamic_pointer_cast<NGraphData>(data.second)) {
-            nData->reset();
-        }
-    }
-}
-
 void CNNNetworkNGraphImpl::setInputInfo(InputInfo::Ptr data) {
     if (cnnNetwork) cnnNetwork->setInputInfo(data);
     _inputData[data->name()] = data;
diff --git a/inference-engine/src/inference_engine/cnn_network_ngraph_impl.hpp b/inference-engine/src/inference_engine/cnn_network_ngraph_impl.hpp
index ba84a1a82b2..7b042c72b12 100644
--- a/inference-engine/src/inference_engine/cnn_network_ngraph_impl.hpp
+++ b/inference-engine/src/inference_engine/cnn_network_ngraph_impl.hpp
@@ -43,7 +43,7 @@ namespace details {
 class INFERENCE_ENGINE_API_CLASS(CNNNetworkNGraphImpl): public ICNNNetwork {
 public:
     CNNNetworkNGraphImpl(const std::shared_ptr<::ngraph::Function>& nGraph);
-    ~CNNNetworkNGraphImpl() override;
+    ~CNNNetworkNGraphImpl() override = default;
 
     void getOutputsInfo(std::map<std::string, DataPtr>& out) const noexcept override;
 
@@ -118,8 +118,6 @@ private:
                                  CNNNetworkImpl* cnnNetworkImpl,
                                  bool keep_constant_inputs);
 
-    friend class NGraphData;
-
     /**
      * @brief Reshape on the same shape
      */
@@ -135,32 +133,5 @@ public:
     }
 };
 
-IE_SUPPRESS_DEPRECATED_START
-
-/**
- * @brief Special derived class of Data which converts CNNNetworkNGraphImpl to CNNLayer-based representation
- * in case if a user called Data::getCreatorLayer or Data::getInputTo
- */
-class NGraphData : public Data {
-public:
-    using Ptr = std::shared_ptr<NGraphData>;
-
-    NGraphData(CNNNetworkNGraphImpl* network, const std::string& name, const TensorDesc& desc)
-        : Data(name, desc), network(network) {}
-
-    void reset() {
-        network = nullptr;
-    }
-
-    CNNLayerWeakPtr& getCreatorLayer();
-
-    std::map<std::string, CNNLayerPtr>& getInputTo();
-
-private:
-    CNNNetworkNGraphImpl* network;
-};
-
-IE_SUPPRESS_DEPRECATED_END
-
 }  // namespace details
 }  // namespace InferenceEngine
diff --git a/inference-engine/src/inference_engine/ie_data.cpp b/inference-engine/src/inference_engine/ie_data.cpp
index 4123171d425..24109842e1a 100644
--- a/inference-engine/src/inference_engine/ie_data.cpp
+++ b/inference-engine/src/inference_engine/ie_data.cpp
@@ -110,11 +110,7 @@ const SizeVector& Data::getDims() const {
 // compatibility
 
 CNNLayerWeakPtr& InferenceEngine::getCreatorLayer(const DataPtr & data) {
-    if (auto ndata = std::dynamic_pointer_cast<details::NGraphData>(data)) {
-        return ndata->getCreatorLayer();
-    } else {
-        return data->_impl->creatorLayer;
-    }
+    return data->_impl->creatorLayer;
 }
 
 std::map<std::string, CNNLayerPtr>& InferenceEngine::getInputTo(const DataPtr & data) {
@@ -124,11 +120,3 @@ std::map<std::string, CNNLayerPtr>& InferenceEngine::getInputTo(const DataPtr &
 std::map<std::string, CNNLayerPtr>& InferenceEngine::getInputTo(Data * data) {
     return data->_impl->inputTo;
 }
-
-CNNLayerWeakPtr& details::NGraphData::getCreatorLayer() {
-    return _impl->creatorLayer;
-}
-
-std::map<std::string, CNNLayerPtr>& details::NGraphData::getInputTo() {
-    return _impl->inputTo;
-}
diff --git a/inference-engine/src/legacy_api/src/convert_function_to_cnn_network.cpp b/inference-engine/src/legacy_api/src/convert_function_to_cnn_network.cpp
index 07d0f4c61c1..37a0cd184d3 100644
--- a/inference-engine/src/legacy_api/src/convert_function_to_cnn_network.cpp
+++ b/inference-engine/src/legacy_api/src/convert_function_to_cnn_network.cpp
@@ -814,8 +814,7 @@ void convertFunctionToICNNNetwork(const std::shared_ptr<const ::ngraph::Function
             std::string outName = layer->get_friendly_name();
             if (layer->get_output_size() != 1) outName += "." + std::to_string(i);
             DataPtr &ptr = cnnNetworkImpl->getData(outName.c_str());
-            SizeVector dims;
-            dims = layer->get_output_shape(i);
+            SizeVector dims = layer->get_output_shape(i);
             for (const auto &dim : dims) {
                 if (!dim)
                     THROW_IE_EXCEPTION << cnnLayer->type << " layer " << cnnLayer->name
@@ -823,14 +822,13 @@ void convertFunctionToICNNNetwork(const std::shared_ptr<const ::ngraph::Function
             }
             if (!ptr && nGraphImpl && nGraphImpl->_data.find(outName) != nGraphImpl->_data.end()) {
                 ptr = nGraphImpl->_data.at(outName);
-                if (auto nData = std::dynamic_pointer_cast<InferenceEngine::details::NGraphData>(ptr)) {
+                {
                     const auto layout =
-                        dims.size() == nData->getTensorDesc().getDims().size() ?
-                        nData->getTensorDesc().getLayout() :
+                        dims.size() == ptr->getTensorDesc().getDims().size() ?
+                        ptr->getTensorDesc().getLayout() :
                         TensorDesc::getLayoutByDims(dims);
 
-                    nData->reset();
-                    nData->reshape(dims, layout);
+                    ptr->reshape(dims, layout);
                 }
                 cnnNetworkImpl->addData(outName.c_str(), ptr);
             }